Shared Prompts

Companies may use one or more systems and/or platforms to perform various tasks. Users of such communication platforms can perform such tasks using various virtual spaces such as video conferencing, channels, direct messages, boards, etc. However, in some circumstances, users may experience difficulty accessing the functionality within the virtual space(s) and/or using such functionality to its fullest extent, resulting in an undesirable user experience.

Techniques for generating and/or sharing prompts between virtual space(s) and/or user profile(s) are described herein. In some examples, a communication platform may receive a request from a first user profile to share a prompt. The prompt may be a customized prompt or a prompt previously answered by a machine-learned model. The communication platform may generate the sharable prompt and display the sharable prompt in a virtual space, as requested by the first user profile. In some cases, the communication platform may receive a request from a second user profile to access and/or utilize the sharable prompt. In response to the request, the communication platform may cause the prompt and/or user data of the second user profile to be input into a machine-learned model. The communication platform may receive, from the machine-learned model, output data representative of a result (e.g., answer, requested document, etc.) of the prompt. In such cases, the communication platform may cause the output data to be displayed to the virtual space via a user interface of the second user profile. As discussed throughout this disclosure, the techniques may improve user experience by increasing accessibility and usability of the machine-learned systems and/or resources associated therewith within the communication platform. In addition, such techniques can reduce the time and steps spent by users to identify the machine-learned systems while increasing the quality of the use of such systems.

When interacting with machine-learned systems within a communication platform, it may be beneficial to increase the availability and/or usability of such systems. For example, a user profile may use a communication platform to perform one or more work and/or personal tasks. In such cases, the communication platform may have one or more machine-learned systems that the user profile can use and/or leverage when performing such tasks. However, in some circumstances, the user profile may experience difficulty locating the machine-learned systems within the communication platform (e.g., so many virtual spaces and/or buttons within such virtual spaces) and/or knowing what to ask or communicate to the machine-learned system. For example, frequently, communication platform(s) may include large numbers of virtual spaces (e.g., channels, direct messaging instances, boards, canvases, lists, etc.). It can be difficult for user profiles to know and/or remember which virtual space(s) contain the machine-learned system(s), thereby resulting in users manually accessing each virtual space to try and find the machine-learned system. Further, once the user profile identifies the virtual space with the machine-learned system, it may be difficult for the user profile to determine how to access the model amongst the many buttons and/or popup interfaces. Once the user profile has identified which buttons to use, the user profile may lack clarity as to what to ask the machine-learned system. That is, the user may have questions and/or need assistance but may lack the understanding as to how to phrase the question. As such, the techniques and/or systems described herein may increase the accessibility and/or usability of the machine-learned systems for the user profiles of communication platforms.

To address these and other technical problems and inefficiencies, the systems and/or techniques described herein may include a prompt management component (which also may be referred to as a “prompt system”) configured to generate and/or share prompts associated with machine-learned models between user profile(s) and/or virtual space(s). The technical solutions discussed herein solve one or more technical problems associated with conventional techniques resulting in a suboptimal user experience.

Initially, the communication platform may receive a request to share a prompt. In some examples, the communication platform can be a group-based communication platform, a channel-based messaging platform, a sales-based platform, an email-based platform, a calendar-based platform, and/or any other platform for facilitating communication between and among users. Users can use a variety of devices (or “user devices”) to access the communication platform. Such devices may include any suitable type of computing device, e.g., portable, semi-portable, semi-stationary, or stationary. Some examples of a user device can include a tablet computing device, a smart phone, a mobile communication device, a laptop, a netbook, a desktop computing device, a terminal computing device, a wearable computing device, an augmented reality device, an Internet of Things (IOT) device, or any other computing device capable of sending communications and performing the functions according to the techniques described herein. That is, a user profile of the communication platform can use one or more of the abovementioned user device(s) to request that the communication platform generate a sharable prompt (e.g., message) to be shared with the members of one or more virtual space(s) and/or user profile(s).

For example, the communication platform may receive, from a first user profile in a first virtual space, a request to share a prompt to be input into a machine-learned model. A virtual space may be a communication channel, a direct messaging instance, a canvas, a list, a board, etc. In some examples, the virtual space may include a machine-learned system. In some cases, the member(s) or subscriber(s) of the virtual space may be able to access and/or utilize the machine-learned system. For example, the user profile may ask the machine-learned model questions, request that the machine-learned system perform various tasks, etc. As an example, a user profile may ask the machine-learned system “what is my most frequently used emoji?” In this example, the machine-learned system may access the user profile data (or user data), determine the most frequently used emoji based on such user data, and cause the answer to be displayed via the virtual space. In some examples, the questions, the commands, the requests, etc. to be input into the machine-learned model (or system) may be considered as the prompt. In some examples, a user profile may request to share a prompt that was previously answered by the machine-learned system with one or more other user profiles and/or virtual spaces. That is, the first user profile may determine that the prompt they previously input into the machine-learned system (e.g., “what is my most frequently used emoji”) may be useful and/or helpful for other users in the same or different virtual spaces. As such, the user profile may select a user interface element (e.g., button) proximate the prompt and request that the prompt be shared (or sharable). Upon selecting the user interface element, the virtual space may cause a popup interface to be displayed. The popup interface may include an option to request that the prompt input into the machine-learned system be shared. The first user profile may select the option which may send a request to the communication platform to generate the shared prompt.

In some examples, the communication platform may generate, in response to the request to share the prompt, a message (or sharable prompt). In this example, when generating the sharable prompt, the communication platform may receive instruction from the first user profile as to the prompt (e.g., question, command, etc.) to include in the sharable prompt. Further, the communication platform may receive instruction as to the type of machine-learned model to include in the sharable prompt. In some cases, the sharable prompt may be viewed as a user interface element (or button) or message when the sharable prompt is posted to a virtual space. That is, the first user profile may paste (or associate) the message (or link) to a text box of a virtual space. In such cases, upon posting the message, the message may be converted from a link (or message) to a button.

In some examples, the communication platform may receive, from a second virtual space and by the first user profile, a request to post the message (or sharable prompt) to the second virtual space. In this case, the first user profile may share the message with other user profiles via one or more different virtual spaces. That is, as noted above, the first user profile may determine that the prompt previously input into the machine-learned system may be useful for other user profiles. As such, the first user profile may navigate to a virtual space with which the user profile(s) are associated. This virtual space may be a communication channel, a direct messaging instance, a canvas, etc. In this case, the intended recipient user profile(s) may be members of the virtual space. In such cases, the first user profile may input the message (or sharable prompt) into a text box of the intended virtual space. Based on entering the message into the text box, the first user profile may request that the message be posted to the new virtual space such that the intended recipients may view the sharable prompt via the new virtual space. However, this is not intended to be limiting; in other cases, the first user profile may request to post the message (or sharable prompt) to the same virtual space within which the sharable prompt was generated.

In some examples and based at least in part on generating the sharable prompt, the communication platform may cause the message (or sharable prompt) to be displayed to the second virtual space such that the member(s) of the second virtual space may be able to view and/or access the message. That is, the communication platform may render the message to the second virtual space such that the members of the virtual space may be able to interact with the message (or sharable prompt). In some cases, the message may be displayed in a messaging feed (or pane), a thread, a popup or overlay window, etc.

In some examples, the communication platform may receive, in response to displaying the message in the second virtual space and by a second user profile (e.g., a member of the second virtual space), a request to access and/or utilize the message (or sharable prompt). That is, a second user profile that has access to, and/or is a member of, the second virtual space may submit the request to use the sharable prompt. The second user profile may submit the request by selecting (e.g., clicking on, touching, etc.) the button (or message or sharable prompt) as displayed via the second virtual space. As such, when the second user profile selects the message, a request may be sent to the communication platform instructing the communication platform to input the prompt stored in the message and/or the user data of the second user profile into a machine-learned system.

For example, the communication platform may input the prompt and/or the user data of the second user profile into a machine-learned system. In some examples, some or all machine-learned systems and/or virtual spaces may include one or more machine-learned models. In some cases, the such machine-learned systems may be trained on the content and/or data within the virtual space. Additionally or alternatively, the machine-learned systems may be trained on data associated with the prompt (e.g., trained on the topic of the prompt). In some cases, when inputting the data into the machine-learned system, the communication platform may access the user profile data of the requesting user profile. The user profile data may be used to by the machine-learned system to accurately and/or correctly answer the prompt relative the requesting user. As such, the communication platform may input the prompt and/or the user data into the machine-learned model.

In some examples, the communication platform may cause, in response to receiving the output data from the machine-learned system, the output data to be displayed to the virtual space via a user interface of the second user profile. That is, the machine-learned system may output the response, answer, and/or content associated with the prompt. In this case, the communication platform may display the output data to the second virtual space being used by the second user profile. Importantly, the machine-learned system may output different (or unique) output data that is tailored or relative to the requesting user profile. That is, if two user profiles of the second virtual space both select the sharable prompt, the machine-learned system may output different responses based on the machine-learned system tailoring the responses to the user profiles based on the specific user data that was input into the machine-learned system.

Additionally or alternatively, the first user profile may request the sharable prompt from within the intended virtual space. For example, the first user profile may utilize a canvas virtual space which may include summaries and/or data associated with the associating channel or direct messaging instance. In such cases, the user profile may request that a sharable prompt (or message) button be added to the canvas to further explain and/or teach user profiles about certain topics. When determining which data to include in the sharable prompt, the user profile may indicate the specific prompt to use in the sharable prompt and/or the specific machine-learned model to use in the sharable prompt. That is, the user profile can define the prompt to use and/or which of the one or more different types of machine-learned models to use when answering the prompt. In some cases, the communication platform may include different types of machine-learned models such as an HR model, a scheduling model, etc. As such, the user profile may use different types of models for different sharable prompts.

As illustrated by these examples, the techniques described herein can improve the functioning, efficiency, and overall user experience of the communication platform. That is, the techniques described herein may enable the users to access and/or utilize machine-learned systems within a virtual space by sharing prompts between users and/or virtual spaces which may reduce the amount of manual effort and/or time wasted trying to manually locate the machine-learned systems and/or think of the input prompt.

The following detailed description of examples references the accompanying drawings that illustrate specific examples in which the techniques can be practiced. The examples are intended to describe aspects of the systems and methods in sufficient detail to enable those skilled in the art to practice the techniques discussed herein. Other examples can be utilized and changes can be made without departing from the scope of the disclosure. The following detailed description is, therefore, not to be taken in a limiting sense. The scope of the disclosure is defined only by the appended claims, along with the full scope of equivalents to which such claims are entitled.

1 FIG. 100 100 illustrates an example environmentfor performing techniques described herein. In at least one example, the example environmentcan be associated with a communication platform that can leverage a network-based computing system to enable users of the communication platform to exchange data. In at least one example, the communication platform can be “group-based” such that the platform, and associated systems, communication channels, messages, collaborative documents, canvases, audio/video conversations, and/or other virtual spaces, have security (that can be defined by permissions) to limit access to a defined group of users. In some examples, such groups of users can be defined by group identifiers, as described above, which can be associated with common access credentials, domains, or the like. In some examples, the communication platform can be a hub, offering a secure and private virtual space to enable users to chat, meet, call, collaborate, transfer files or other data, or otherwise communicate between or among each other. As described above, each group can be associated with a workspace, enabling users associated with the group to chat, meet, call, collaborate, transfer files or other data, or otherwise communicate between or among each other in a secure and private virtual space. In some examples, members of a group, and thus workspace, can be associated with a same organization. In some examples, members of a group, and thus workspace, can be associated with different organizations (e.g., entities with different organization identifiers).

100 102 102 In at least one example, the example environmentcan include one or more server computing devices (or “server(s)”). In at least one example, the server(s)can include one or more servers or other types of computing devices that can be embodied in any number of ways. For example, in the example of a server, the functional components and data can be implemented on a single server, a cluster of servers, a server farm or data center, a cloud-hosted computing service, a cloud-hosted storage service, and so forth, although other computer architectures can additionally or alternatively be used.

102 104 106 102 104 106 104 104 104 100 104 In at least one example, the server(s)can communicate with a user computing devicevia one or more network(s). That is, the server(s)and the user computing devicecan transmit, receive, and/or store data (e.g., content, information, or the like) using the network(s), as described herein. The user computing devicecan be any suitable type of computing device, e.g., portable, semi-portable, semi-stationary, or stationary. Some examples of the user computing devicecan include a tablet computing device, a smart phone, a mobile communication device, a laptop, a netbook, a desktop computing device, a terminal computing device, a wearable computing device, an augmented reality device, an Internet of Things (IOT) device, or any other computing device capable of sending communications and performing the functions according to the techniques described herein. While a single user computing deviceis shown, in practice, the example environmentcan include multiple (e.g., tens of, hundreds of, thousands of, millions of) user computing devices. In at least one example, user computing devices, such as the user computing device, can be operable by users to, among other things, access communication services via the communication platform. A user can be an individual, a group of individuals, an employer, an enterprise, an organization, and/or the like.

106 106 The network(s)can include, but are not limited to, any type of network known in the art, such as a local area network or a wide area network, the Internet, a wireless network, a cellular network, a local wireless network, Wi-Fi and/or close-range wireless communications, Bluetooth®, Bluetooth Low Energy (BLE), Near Field Communication (NFC), a wired network, or any other such network, or any combination thereof. Components used for such communications can depend at least in part upon the type of network, the environment selected, or both. Protocols for communicating over such network(s)are well known and are not discussed herein in detail.

102 108 110 112 114 In at least one example, the server(s)can include one or more processors, computer-readable media, one or more communication interfaces, and/or input/output devices.

108 108 108 108 In at least one example, each processor of the processor(s)can be a single processing unit or multiple processing units, and can include single or multiple computing units or multiple processing cores. The processor(s)can be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units (CPUs), graphics processing units (GPUs), state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions. For example, the processor(s)can be one or more hardware processors and/or logic circuits of any suitable type specifically programmed or configured to execute the algorithms and processes described herein. The processor(s)can be configured to fetch and execute computer-readable instructions stored in the computer-readable media, which can program the processor(s) to perform the functions described herein.

110 110 102 110 The computer-readable mediacan include volatile and nonvolatile memory and/or removable and non-removable media implemented in any type of technology for storage of data, such as computer-readable instructions, data structures, program modules, or other data. Such computer-readable mediacan include, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, optical storage, solid state storage, magnetic tape, magnetic disk storage, RAID storage systems, storage arrays, network attached storage, storage area networks, cloud storage, or any other medium that can be used to store the desired data and that can be accessed by a computing device. Depending on the configuration of the server(s), the computer-readable mediacan be a type of computer-readable storage media and/or can be a tangible non-transitory media to the extent that when mentioned, non-transitory computer-readable media exclude media such as energy, carrier signals, electromagnetic waves, and signals per se.

110 108 108 108 102 116 118 120 122 124 The computer-readable mediacan be used to store any number of functional components that are executable by the processor(s). In many implementations, these functional components comprise instructions or programs that are executable by the processor(s)and that, when executed, specifically configure the processor(s)to perform the actions attributed above to the server(s). Functional components stored in the computer-readable media can optionally include a messaging component, an audio/video component, a prompt management component, an operating system, and a datastore.

116 116 104 104 In at least one example, the messaging componentcan process messages between users. That is, in at least one example, the messaging componentcan receive an outgoing message from a user computing deviceand can send the message as an incoming message to a second user computing device. The messages can include direct messages sent from an originating user to one or more specified users and/or communication channel messages sent via a communication channel from the originating user to the one or more users associated with the communication channel. Additionally, the messages can be transmitted in association with a collaborative document, canvas, or other collaborative space. In at least one example, the canvas can include a flexible canvas for curating, organizing, and sharing collections of information between users. In at least one example, the collaborative document can be associated with a document identifier (e.g., virtual space identifier, communication channel identifier, etc.) configured to enable messaging functionalities attributable to a virtual space (e.g., a communication channel) within the collaborative document. That is, the collaborative document can be treated as, and include the functionalities associated with, a virtual space, such as a communication channel. The virtual space, or communication channel, can be a data route used for exchanging data between and among systems and devices associated with the communication platform.

116 116 In at least one example, the messaging componentcan establish a communication route between and among various user computing devices, allowing the user computing devices to communicate and share data between and among each other. In at least one example, the messaging componentcan manage such communications and/or sharing of data. In some examples, data associated with a virtual space, such a collaborative document, can be presented via a user interface. In addition, metadata associated with each message transmitted via the virtual space, such as a timestamp associated with the message, a sending user identifier, a recipient user identifier, a conversation identifier and/or a root object identifier (e.g., conversation associated with a thread and/or a root object), and/or the like, can be stored in association with the virtual space.

116 116 104 116 116 116 116 116 In various examples, the messaging componentcan receive a message transmitted in association with a virtual space (e.g., direct message instance, communication channel, canvas, collaborative document, etc.). In various examples, the messaging componentcan identify one or more users associated with the virtual space and can cause a rendering of the message in association with instances of the virtual space on respective user computing devices. In various examples, the messaging componentcan identify the message as an update to the virtual space and, based on the identified update, can cause a notification associated with the update to be presented in association with a sidebar of user interface associated with one or more of the user(s) associated with the virtual space. For example, the messaging componentcan receive, from a first user account, a message transmitted in association with a virtual space. In response to receiving the message (e.g., interaction data associated with an interaction of a first user with the virtual space), the messaging componentcan identify a second user associated with the virtual space (e.g., another user that is a member of the virtual space). In some examples, the messaging componentcan cause a notification of an update to the virtual space to be presented via a sidebar of a user interface associated with a second user account of the second user. In some examples, the messaging componentcan cause the notification to be presented in response to a determination that the sidebar of the user interface associated with the second user account includes an affordance associated with the virtual space. In such examples, the notification can be presented in association with the affordance associated with the virtual space.

116 116 116 In various examples, the messaging componentcan be configured to identify a mention or tag associated with the message transmitted in association with the virtual space. In at least one example, the mention or tag can include an @mention (or other special character) of a user identifier that is associated with the communication platform. The user identifier can include a username, real name, or other unique identifier that is associated with a particular user. In response to identifying the mention or tag of the user identifier, the messaging componentcan cause a notification to be presented on a user interface associated with the user identifier, such as in association with an affordance associated with the virtual space in a sidebar of a user interface associated with the particular user and/or in a virtual space associated with mentions and reactions. That is, the messaging componentcan be configured to alert a particular user that they were mentioned in a virtual space.

118 118 In at least one example, the audio/video componentcan be configured to manage audio and/or video communications between and among users. In some examples, the audio and/or video communications can be associated with an audio and/or video conversation. In at least one example, the audio and/or video conversation can include a discrete identifier configured to uniquely identify the audio and/or video conversation. In some examples, the audio and/or video componentcan store user identifiers associated with user accounts of members of a particular audio and/or video conversation, such as to identify user(s) with appropriate permissions to access the particular audio and/or video conversation.

118 In some examples, communications associated with an audio and/or video conversation (“conversation”) can be synchronous and/or asynchronous. That is, the conversation can include a real-time audio and/or video conversation between a first user and a second user during a period of time and, after the first period of time, a third user who is associated with (e.g., is a member of) the conversation can contribute to the conversation. The audio/video componentcan be configured to store audio and/or video data associated with the conversation, such as to enable users with appropriate permissions to listen and/or view the audio and/or video data.

118 118 118 118 118 118 In some examples, the audio/video componentcan be configured to generate a transcript of the conversation, and can store the transcript in association with the audio and/or video data. The transcript can include a textual representation of the audio and/or video data. In at least one example, the audio/video componentcan use known speech recognition techniques to generate the transcript. In some examples, the audio/video componentcan generate the transcript concurrently or substantially concurrently with the conversation. That is, in some examples, the audio/video componentcan be configured to generate a textual representation of the conversation while it is being conducted. In some examples, the audio/video componentcan generate the transcript after receiving an indication that the conversation is complete. The indication that the conversation is complete can include an indication that a host or administrator associated therewith has stopped the conversation, that a threshold number of meeting attendees have closed associated interfaces, and/or the like. That is, the audio/video componentcan identify a completion of the conversation and, based on the completion, can generate the transcript associated therewith.

118 118 118 118 118 In at least one example, the audio/video componentcan be configured to cause presentation of the transcript in association with a virtual space with which the audio and/or video conversation is associated. For example, a first user can initiate an audio and/or video conversation in association with a communication channel. The audio/video componentcan process audio and/or video data between attendees of the audio and/or video conversation, and can generate a transcript of the audio and/or video data. In response to generating the transcript, the audio/video componentcan cause the transcript to be published or otherwise presented via the communication channel. In at least one example, the audio/video componentcan render one or more sections of the transcript selectable for commenting, such as to enable members of the communication channel to comment on, or further contribute to, the conversation. In some examples, the audio/video componentcan update the transcript based on the comments.

118 118 116 102 116 118 In at least one example, the audio/video componentcan manage one or more audio and/or video conversations in association with a virtual space associated with a group (e.g., organization, team, etc.) administrative or command center. The group administrative or command center can be referred to herein as a virtual (and/or digital) headquarters associated with the group. In at least one example, the audio/video componentcan be configured to coordinate with the messaging componentand/or other components of the server(s), to transmit communications in association with other virtual spaces that are associated with the virtual headquarters. That is, the messaging componentcan transmit data (e.g., messages, images, drawings, files, etc.) associated with one or more communication channels, direct messaging instances, collaborative documents, canvases, and/or the like, that are associated with the virtual headquarters. In some examples, the communication channel(s), direct messaging instance(s), collaborative document(s), canvas(es), and/or the like can have associated therewith one or more audio and/or video conversations managed by the audio/video component. That is, the audio and/or video conversations associated with the virtual headquarters can be further associated with, or independent of, one or more other virtual spaces of the virtual headquarters.

120 120 120 120 120 120 120 In at least one example, the prompt management componentcan generate and/or share prompts between virtual space(s) and/or user profile(s). In some examples, the prompt management componentmay receive a request from a first user profile to share a prompt. The prompt may be a customized prompt or a prompt previously answered by a machine-learned model. The prompt management componentmay generate the sharable prompt and display the sharable prompt in a virtual space, as requested by the user profile. In some cases, the prompt management componentmay receive a request from a second user profile to access and/or utilize the sharable prompt. In response to the request, the prompt management componentmay cause the prompt and/or user data of the second user profile to be input into a machine-learned model. The prompt management componentmay receive, from the machine-learned model, output data representative of a result (e.g., answer, requested document, etc.) of the prompt. In such cases, the prompt management componentmay cause the output data to be displayed to the virtual space via a user interface of the second user profile.

In some examples, the communication platform can manage communication channels. In some examples, the communication platform can be a channel-based messaging platform, that in some examples, can be usable by group(s) of users. Users of the communication platform can communicate with other users via communication channels. A communication channel, or virtual space, can be a data route used for exchanging data between and among systems and devices associated with the communication platform. In some examples, a channel can be a virtual space where people can post messages, documents, and/or files. In some examples, access to channels can be controlled by permissions. In some examples, channels can be limited to a single organization, shared between different organizations, public, private, or special channels (e.g., hosted channels with guest accounts where guests can make posts but are prevented from performing certain actions, such as inviting other users to the channel). In some examples, some users can be invited to channels via email, channel invites, direct messages, text messages, and the like. Examples of channels and associated functionality are discussed throughout this disclosure.

122 108 110 102 In at least one example, the operating systemcan manage the processor(s), computer-readable media, hardware, software, etc. of the server(s).

124 124 102 124 102 102 104 124 126 128 1 FIG. In at least one example, the datastorecan be configured to store data that is accessible, manageable, and updatable. In some examples, the datastorecan be integrated with the server(s), as shown in. In other examples, the datastorecan be located remotely from the server(s)and can be accessible to the server(s)and/or user device(s), such as the user device. The datastorecan comprise multiple databases, which can include user/org dataand/or virtual space data. Additional or alternative data may be stored in the data store and/or one or more other data stores.

126 126 In at least one example, the user/org datacan include data associated with users of the communication platform. In at least one example, the user/org datacan store data in user profiles (which can also be referred to as “user accounts”), which can store data associated with a user, including, but not limited to, one or more user identifiers associated with multiple, different organizations or entities with which the user is associated, one or more communication channel identifiers associated with communication channels to which the user has been granted access, one or more group identifiers for groups (or, organizations, teams, entities, or the like) with which the user is associated, an indication whether the user is an owner or manager of any communication channels, an indication whether the user has any communication channel restrictions, a plurality of messages, a plurality of emojis, a plurality of conversations, a plurality of conversation topics, an avatar, an email address, a real name (e.g., John Doe), a username (e.g., j doe), a password, a time zone, a status, a token, and the like.

126 126 In at least one example, the user/org datacan include permission data associated with permissions of individual users of the communication platform. In some examples, permissions can be set automatically or by an administrator of the communication platform, an employer, enterprise, organization, or other entity that utilizes the communication platform, a team leader, a group leader, or other entity that utilizes the communication platform for communicating with team members, group members, or the like, an individual user, or the like. Permissions associated with an individual user can be mapped to, or otherwise associated with, an account or profile within the user/org data. In some examples, permissions can indicate which users can communicate directly with other users, which channels a user is permitted to access, restrictions on individual channels, which workspaces the user is permitted to access, restrictions on individual workspaces, and the like. In at least one example, the permissions can support the communication platform by maintaining security for limiting access to a defined group of users. In some examples, such users can be defined by common access credentials, group identifiers, or the like, as described above.

126 126 In at least one example, the user/org datacan include data associated with one or more organizations of the communication platform. In at least one example, the user/org datacan store data in organization profiles, which can store data associated with an organization, including, but not limited to, one or more user identifiers associated with the organization, one or more virtual space identifiers associated with the organization (e.g., workspace identifiers, communication channel identifiers, direct message instance identifiers, collaborative document identifiers, canvas identifiers, audio/video conversation identifiers, etc.), an organization identifier associated with the organization, one or more organization identifiers associated with other organizations that are authorized for communication with the organization, and the like.

128 128 In at least one example, the virtual space datacan include data associated with one or more virtual spaces associated with the communication platform. The virtual space datacan include textual data, audio data, video data, images, files, and/or any other type of data configured to be transmitted in association with a virtual space. Non-limiting examples of virtual spaces include workspaces, communication channels, direct messaging instances, collaborative documents, canvases, and audio and/or video conversations. In at least one example, the virtual space data can store data associated with individual virtual spaces separately, such as based on a discrete identifier associated with each virtual space. In some examples, a first virtual space can be associated with a second virtual space. In such examples, first virtual space data associated with the first virtual space can be stored in association with the second virtual space. For example, data associated with a collaborative document that is generated in association with a communication channel may be stored in association with the communication channel. For another example, data associated with an audio and/or video conversation that is conducted in association with a communication channel can be stored in association with the communication channel.

128 As discussed above, each virtual space of the communication platform can be assigned a discrete identifier that uniquely identifies the virtual space. In some examples, the virtual space identifier associated with the virtual space can include a physical address in the virtual space datawhere data related to that virtual space is stored. A virtual space may be “public,” which may allow any user within an organization (e.g., associated with an organization identifier) to join and participate in the data sharing through the virtual space, or a virtual space may be “private,” which may restrict data communications in the virtual space to certain users or users having appropriate permissions to view. In some examples, a virtual space may be “shared,” which may allow users associated with different organizations (e.g., entities associated with different organization identifiers) to join and participate in the data sharing through the virtual space. Shared virtual spaces (e.g., shared channels) may be public such that they are accessible to any user of either organization, or they may be private such that they are restricted to access by certain users (e.g., users with appropriate permissions) of both organizations.

124 In some examples, the datastorecan be partitioned into discrete items of data that may be accessed and managed individually (e.g., data shards). Data shards can simplify many technical tasks, such as data retention, unfurling (e.g., detecting that message contents include a link, crawling the link's metadata, and determining a uniform summary of the metadata), and integration settings. In some examples, data shards can be associated with organizations, groups (e.g., workspaces), communication channels, users, or the like.

124 In some examples, individual organizations can be associated with a database shard within the datastorethat stores data related to a particular organization identification. For example, a database shard may store electronic communication data associated with members of a particular organization, which enables members of that particular organization to communicate and exchange data with other members of the same organization in real time or near-real time. In this example, the organization itself can be the owner of the database shard and has control over where and how the related data is stored. In some examples, a database shard can store data related to two or more organizations (e.g., as in a shared virtual space).

124 In some examples, individual groups can be associated with a database shard within the datastorethat stores data related to a particular group identification (e.g., workspace). For example, a database shard may store electronic communication data associated with members of a particular group, which enables members of that particular group to communicate and exchange data with other members of the same group in real time or near-real time. In this example, the group itself can be the owner of the database shard and has control over where and how the related data is stored.

124 In some examples, a virtual space can be associated with a database shard within the datastorethat stores data related to a particular virtual space identification. For example, a database shard may store electronic communication data associated with the virtual space, which enables members of that particular virtual space to communicate and exchange data with other members of the same virtual space in real time or near-real time. As discussed above, the communications via the virtual space can be synchronous and/or asynchronous. In at least one example, a group or organization can be the owner of the database shard and can control where and how the related data is stored.

124 In some examples, individual users can be associated with a database shard within the datastorethat stores data related to a particular user account. For example, a database shard may store electronic communication data associated with an individual user, which enables the user to communicate and exchange data with other users of the communication platform in real time or near-real time. In some examples, the user itself can be the owner of the database shard and has control over where and how the related data is stored.

124 124 In some examples, such as when a channel is shared between two organizations, each organization can be associated with its own encryption key. When a user associated with one organization posts a message or file to the shared channel it can be encrypted in the datastorewith the encryption key specific to the organization and the other organization can decrypt the message or file prior to accessing the message or file. Further, in examples where organizations are in different geographical areas, data associated with a particular organization can be stored in a location corresponding to the organization and temporarily cached at a location closer to a client (e.g., associated with the other organization) when such messages or files are to be accessed. Data can be maintained, stored, and/or deleted in the datastorein accordance with a data governance policy associated with each specific organization.

112 104 106 112 The communication interface(s)can include one or more interfaces and hardware components for enabling communication with various other devices (e.g., the user computing device), such as over the network(s)or directly. In some examples, the communication interface(s)can facilitate communication via WebSockets, Application Programming Interfaces (APIs) (e.g., using API calls), Hypertext Transfer Protocols (HTTPs), etc.

102 114 114 The server(s)can further be equipped with various input/output devices(e.g., I/O devices). Such I/O devicescan include a display, various user interface controls (e.g., buttons, joystick, keyboard, mouse, touch screen, etc.), audio speakers, connection ports and so forth.

104 130 132 134 136 In at least one example, the user computing devicecan include one or more processors, computer-readable media, one or more communication interfaces, and input/output devices.

130 130 108 108 In at least one example, each processor of the processor(s)can be a single processing unit or multiple processing units, and can include single or multiple computing units or multiple processing cores. The processor(s)can comprise any of the types of processors described above with reference to the processor(s)and may be the same as or different than the processor(s).

132 132 110 110 138 140 The computer-readable mediacan comprise any of the types of computer-readable mediadescribed above with reference to the computer-readable mediaand may be the same as or different than the computer-readable media. Functional components stored in the computer-readable media can optionally include at least one applicationand an operating system.

138 100 138 130 138 104 102 138 102 138 In at least one example, the applicationcan be a mobile application, a web application, or a desktop application, which can be provided by the communication platform or which can be an otherwise dedicated application. In some examples, individual user computing devices associated with the environmentcan have an instance or versioned instance of the application, which can be downloaded from an application store, accessible via the Internet, or otherwise executable by the processor(s)to perform operations as described herein. That is, the applicationcan be an access point, enabling the user computing deviceto interact with the server(s)to access and/or use communication services available via the communication platform. In at least one example, the applicationcan facilitate the exchange of data between and among various other user computing devices, for example via the server(s). In at least one example, the applicationcan present user interfaces, as described herein. In at least one example, a user can interact with the user interfaces via touch input, keyboard input, mouse input, spoken input, or any other type of input.

142 142 142 104 142 144 142 146 146 142 1 FIG. 1 FIG. A non-limiting example of a user interfaceis shown in. As illustrated in, the user interfacecan present data associated with one or more virtual spaces, which may include one or more workspaces. That is, in some examples, the user interfacecan integrate data from multiple workspaces into a single user interface so that the user (e.g., of the user computing device) can access and/or interact with data associated with the multiple workspaces that he or she is associated with and/or otherwise communicate with other users associated with the multiple workspaces. In some examples, the user interfacecan include a first region, or pane, that includes indicator(s) (e.g., user interface element(s) or object(s)) associated with workspace(s) with which the user (e.g., account of the user) is associated. In some examples, the user interfacecan include a second region, or pane, that includes indicator(s) (e.g., user interface element(s), affordance(s), object(s), etc.) representing data associated with the workspace(s) with which the user (e.g., account of the user) is associated. In at least one example, the second regioncan represent a sidebar of the user interface.

142 148 148 148 148 148 In at least one example, the user interfacecan include a third region, or pane, that can be associated with a data feed (or, “feed”) indicating messages posted to and/or actions taken with respect to one or more communication channels and/or other virtual spaces for facilitating communications (e.g., a virtual space associated with direct message communication(s), a virtual space associated with event(s) and/or action(s), etc.) as described herein. In at least one example, data associated with the third regioncan be associated with the same or different workspaces. That is, in some examples, the third regioncan present data associated with the same or different workspaces via an integrated feed. In some examples, the data can be organized and/or is sortable by workspace, time (e.g., when associated data is posted or an associated operation is otherwise performed), type of action, communication channel, user, or the like. In some examples, such data can be associated with an indication of which user (e.g., member of the communication channel) posted the message and/or performed an action. In examples where the third regionpresents data associated with multiple workspaces, at least some data can be associated with an indication of which workspace the data is associated with. In some examples, the third regionmay be resized or popped out as a standalone window.

140 130 132 102 In at least one example, the operating systemcan manage the processor(s), computer-readable media, hardware, software, etc. of the server(s).

134 104 106 134 The communication interface(s)can include one or more interfaces and hardware components for enabling communication with various other devices (e.g., the user computing device), such as over the network(s)or directly. In some examples, the communication interface(s)can facilitate communication via WebSockets, APIs (e.g., using API calls), HTTPs, etc.

104 136 136 The user computing devicecan further be equipped with various input/output devices(e.g., I/O devices). Such I/O devicescan include a display, various user interface controls (e.g., buttons, joystick, keyboard, mouse, touch screen, etc.), audio speakers, connection ports and so forth.

116 118 120 138 102 104 While techniques described herein are described as being performed by the messaging component, the audio/video component, the prompt management component, and the application, techniques described herein can be performed by any other component, or combination of components, which can be associated with the server(s), the user computing device, or a combination thereof.

2 FIG.A 200 illustrates a user interfaceof a group-based communication system, which will be useful in illustrating the operation of various examples discussed herein. The group-based communication system may include communication data such as messages, queries, files, mentions, users or user profiles, interactions, tickets, channels, applications integrated into one or more channels, conversations, workspaces, or other data generated by or shared between users of the group-based communication system. In some instances, the communication data may comprise data associated with a user, such as a user identifier, channels to which the user has been granted access, groups with which the user is associated, permissions, and other user-specific information.

200 200 202 204 206 208 210 212 214 216 218 The user interfacecomprises a plurality of objects such as panes, text entry fields, buttons, messages, or other user interface components that are viewable by a user of the group-based communication system. As depicted, the user interfacecomprises a title bar, a workspace pane, a navigation pane, channels, documents(e.g., collaborative documents), direct messages, applications, a synchronous multimedia collaboration session pane, and channel pane.

200 204 206 218 218 222 224 218 228 200 230 222 200 216 By way of example and without limitation, when a user opens the user interfacethey can select a workspace via the workspace pane. A particular workspace may be associated with data specific to the workspace and accessible via permissions associated with the workspace. Different sections of the navigation panecan present different data and/or options to a user. Different graphical indicators may be associated with virtual spaces (e.g., channels) to summarize an attribute of the channel (e.g., whether the channel is public, private, shared between organizations, locked, etc.). When a user selects a channel, a channel panemay be presented. In some examples, the channel panecan include a header, pinned items (e.g., documents or other virtual spaces), an “about” document providing an overview of the channel, and the like. In some cases, members of a channel can search within the channel, access content associated with the channel, add other members, post content, and the like. In some examples, depending on the permissions associated with a channel, users who are not members of the channel may have limited ability to interact with (or even view or otherwise access) a channel. As users navigate within a channel they can view messagesand may react to messages (e.g., a reaction button), reply in a thread, start threads, and the like. Further, a channel panecan include a compose paneto compose message(s) and/or other data to associate with a channel. In some examples, the user interfacecan include a threads panethat provides additional levels of detail of the messages. In some examples, different panes can be resized, panes can be popped out to independent windows, and/or independent windows can be merged to multiple panes of the user interface. In some examples, users may communicate with other users via a collaboration pane, which may provide synchronous or asynchronous voice and/or video capabilities for communication. Of course, these are illustrative examples and additional examples of the aforementioned features are provided throughout this disclosure.

202 220 220 202 202 In some examples, title barcomprises search bar. The search barmay allow users to search for content located in the current workspace of the group-based communication system, such as files, messages, channels, members, commands, functions, and the like. Users may refine their searches by attributes such as content type, content author, and by users associated with the content. Users may optionally search within specific workspaces, channels, direct message conversations, or documents. In some examples, the title barcomprises navigation commands allowing a user to move backwards and forwards between different panes, as well as to view a history of accessed content. In some examples, the title barmay comprise additional resources such as links to help documents and user configuration settings.

200 204 204 In some examples, the group-based communication system can comprise a plurality of distinct workspaces, where each workspace is associated with different groups of users and channels. Each workspace can be associated with a group identifier and one or more user identifiers can be mapped to, or otherwise associated with, the group identifier. Users corresponding to such user identifiers may be referred to as members of the group. In some examples, the user interfacecomprises the workspace panefor navigating between, adding, or deleting various workspaces in the group-based communication system. For example, a user may be a part of a workspace for Acme, where the user is an employee of or otherwise affiliated with Acme. The user may also be a member of a local volunteer organization that also uses the group-based communication system to collaborate. To navigate between the two groups, the user may use the workspace paneto change from the Acme workspace to the volunteer organization workspace. A workspace may comprise one or more channels that are unique to that workspace and/or one or more channels that are shared between one or more workspaces. For example, the Acme company may have a workspace for Acme projects, such as Project Zen, a workspace for social discussions, and an additional workspace for general company matters. In some examples, an organization, such as a particular company, may have a plurality of workspaces, and the user may be associated with one or more workspaces belonging to the organization. In yet other examples, a particular workspace can be associated with one or more organizations or other entities associated with the group-based communication system.

206 208 210 214 212 206 206 200 2 FIG.D In some examples, the navigation panepermits users to navigate between virtual spaces such as pages, channels, collaborative documents(such as those discussed at), applications, and direct messageswithin the group-based communication system. For example, the navigation panecan include indicators representing virtual spaces that can aggregate data associated with a plurality of virtual spaces of which the user is a member. In at least one example, each virtual space can be associated with an indicator in the navigation pane. In some examples, an indicator can be associated with an actuation mechanism (e.g., an affordance, also referred to as a graphical element) such that when actuated, can cause the user interfaceto present data associated with the corresponding virtual space. In at least one example, a virtual space can be associated with all unread data associated with each of the workspaces with which the user is associated. That is, in some examples, if the user requests to access the virtual space associated with “unreads,” all data that has not been read (e.g., viewed) by the user can be presented, for example in a feed. In such examples, different types of events and/or actions, which can be associated with different virtual spaces, can be presented via the same feed. In some examples, such data can be organized and/or is sortable by associated virtual space (e.g., virtual space via which the communication was transmitted), time, type of action, user, and/or the like. In some examples, such data can be associated with an indication of which user (e.g., member of the associated virtual space) posted the message and/or performed an action.

In some examples, a virtual space can be associated with the same type of event and/or action. For example, “threads” can be associated with messages, files, etc. posted in threads to messages posted in a virtual space and “mentions and reactions” can be associated with messages or threads where the user has been mentioned (e.g., via a tag) or another user has reacted (e.g., via an emoji, reaction, or the like) to a message or thread posted by the user. That is, in some examples, the same types of events and/or actions, which can be associated with different virtual spaces, can be presented via the same feed. As with the “unreads” virtual space, data associated with such virtual spaces can be organized and/or is sortable by virtual space, time, type of action, user, and/or the like.

In some examples, a virtual space can be associated with facilitating communications between a user and other users of the communication platform. For example, “connect” can be associated with enabling the user to generate invitations to communicate with one or more other users. In at least one example, responsive to receiving an indication of selection of the “connect” indicator, the communication platform can cause a connections interface to be presented.

200 In some examples, a virtual space can be associated with one or more boards or collaborative documents with which the user is associated. In at least one example, a document can include a collaborative document configured to be accessed and/or edited by two or more users with appropriate permissions (e.g., viewing permissions, editing permissions, etc.). In at least one example, if the user requests to access the virtual space associated with one or more documents with which the user is associated, the one or more documents can be presented via the user interface. In at least one example, the documents, as described herein, can be associated with an individual (e.g., private document for a user), a group of users (e.g., collaborative document), and/or one or more communication channels (e.g., members of the communication channel rendered access permissions to the document), such as to enable users of the communication platform to create, interact with, and/or view data associated with such documents. In some examples, the collaborative document can be a virtual space, a board, a canvas, a page, or the like for collaborative communication and/or data organization within the communication platform. In at least one example, the collaborative document can support editable text and/or objects that can be ordered, added, deleted, modified, and/or the like. In some examples, the collaborative document can be associated with permissions defining which users of a communication platform can view and/or edit the document. In some examples, a collaborative document can be associated with a communication channel, and members of the communication channel can view and/or edit the document. In some examples, a collaborative document can be sharable such that data associated with the document is accessible to and/or interactable for members of the multiple communication channels, workspaces, organizations, and/or the like.

In some examples, a virtual space can be associated with a group (e.g., organization, team, etc.) headquarters (e.g., administrative or command center). In at least one example, the group headquarters can include a virtual or digital headquarters for administrative or command functions associated with a group of users. For example, “HQ” can be associated with an interface including a list of indicators associated with virtual spaces configured to enable associated members to communicate. In at least one example, the user can associate one or more virtual spaces with the “HQ” virtual space, such as via a drag and drop operation. That is, the user can determine relevant virtual space(s) to associate with the virtual or digital headquarters, such as to associate virtual space(s) that are important to the user therewith.

200 In some examples, a virtual space can be associated with one or more boards or collaborative documents with which the user is associated. In at least one example, a document can include a collaborative document configured to be accessed and/or edited by two or more users with appropriate permissions (e.g., viewing permissions, editing permissions, etc.). In at least one example, if the user requests to access the virtual space associated with one or more documents with which the user is associated, the one or more documents can be presented via the user interface. In at least one example, the documents, as described herein, can be associated with an individual (e.g., private document for a user), a group of users (e.g., collaborative document), and/or one or more communication channels (e.g., members of the communication channel rendered access permissions to the document), such as to enable users of the communication platform to create, interact with, and/or view data associated with such documents. In some examples, the collaborative document can be a virtual space, a board, a canvas, a page, or the like for collaborative communication and/or data organization within the communication platform. In at least one example, the collaborative document can support editable text and/or objects that can be ordered, added, deleted, modified, and/or the like. In some examples, the collaborative document can be associated with permissions defining which users of a communication platform can view and/or edit the document. In some examples, a collaborative document can be associated with a communication channel, and members of the communication channel can view and/or edit the document. In some examples, a collaborative document can be sharable such that data associated with the document is accessible to and/or interactable for members of the multiple communication channels, workspaces, organizations, and/or the like.

Additionally or in the alternative, in some examples, a virtual space can be associated with one or more canvases with which the user is associated. In at least one example, the canvas can include a flexible canvas for curating, organizing, and sharing collections of information between users. That is, the canvas can be configured to be accessed and/or modified by two or more users with appropriate permissions. In at least one example, the canvas can be configured to enable sharing of text, images, videos, GIFs, drawings (e.g., user-generated drawing via a canvas interface), gaming content (e.g., users manipulating gaming controls synchronously or asynchronously), and/or the like. In at least one example, modifications to a canvas can include adding, deleting, and/or modifying previously shared (e.g., transmitted, presented) data. In some examples, content associated with a canvas can be shareable via another virtual space, such that data associated with the canvas is accessible to and/or rendered interactable for members of the virtual space.

206 208 The navigation panemay further comprise indicators representing communication channels (e.g., the channels). In some examples, the communication channels can include public channels, private channels, shared channels (e.g., between groups or organizations), single workspace channels, cross-workspace channels, combinations of the foregoing, or the like. In some examples, the communication channels represented can be associated with a single workspace. In some examples, the communication channels represented can be associated with different workspaces (e.g., cross-workspace). In at least one example, if a communication channel is cross-workspace (e.g., associated with different workspaces), the user may be associated with both workspaces, or may only be associated with one of the workspaces. In some examples, the communication channels represented can be associated with combinations of communication channels associated with a single workspace and communication channels associated with different workspaces.

206 206 200 206 206 200 206 200 In some examples, the navigation panemay depict some or all of the communication channels that the user has permission to access (e.g., as determined by the permission data). In such examples, the communication channels can be arranged alphabetically, based on most recent interaction, based on frequency of interactions, based on communication channel type (e.g., public, private, shared, cross-workspace, etc.), based on workspace, in user-designated sections, or the like. In some examples, the navigation panecan depict some or all of the communication channels that the user is a member of, and the user can interact with the user interfaceto browse or view other communication channels that the user is not a member of but are not currently displayed in the navigation pane. In some examples, different types of communication channels (e.g., public, private, shared, cross-workspace, etc.) can be in different sections of the navigation pane, or can have their own sub-regions or sub-panes in the user interface. In some examples, communication channels associated with different workspaces can be in different sections of the navigation pane, or can have their own regions or panes in the user interface.

In some examples, the indicators can be associated with graphical elements that visually differentiate types of communication channels. For example, project_zen is associated with a lock graphical element. As a non-limiting example, and for the purpose of this discussion, the lock graphical element can indicate that the associated communication channel, project_zen, is private and access thereto is limited, whereas another communication channel, general, is public and access thereto is available to any member of an organization with which the user is associated. In some examples, additional or alternative graphical elements can be used to differentiate between shared communication channels, communication channels associated with different workspaces, communication channels with which the user is or is not a current member, and/or the like.

206 206 In at least one example, the navigation panecan include indicators representative of communications with individual users or multiple specified users (e.g., instead of all, or a subset of, members of an organization). Such communications can be referred to as “direct messages.” The navigation panecan include indicators representative of virtual spaces that are associated with private messages between one or more users.

212 206 206 206 The direct messagesmay be communications between a first user and a second user, or they may be multi-person direct messages between a first user and two or more second users. The navigation panemay be sorted and organized into hierarchies or sections depending on the user's preferences. In some examples, all of the channels to which a user has been granted access may appear in the navigation pane. In other examples, the user may choose to hide certain channels or collapse sections containing certain channels. Items in the navigation panemay indicate when a new message or update has been received or is currently unread, such as by bolding the text associated with a channel in which an unread message is located or adding an icon or badge (for example, with a count of unread messages) to the channel name. In some examples, the group-based communication system may additionally or alternatively store permissions data associated with permissions of individual users of the group-based communication system, indicating which channels a user may view or join. Permissions can indicate, for example, which users can communicate directly with other users, which channels a user is permitted to access, restrictions on individual channels, which workspaces the user is permitted to access, and restrictions on individual workspaces.

206 Additionally or in the alternative, the navigation panecan include a sub-section that is a personalized sub-section associated with a team of which the user is a member. That is, the “team” sub-section can include affordance(s) of one or more virtual spaces that are associated with the team, such as communication channels, collaborative documents, direct messaging instances, audio or video synchronous or asynchronous meetings, and/or the like. In at least one example, the user can associate selected virtual spaces with the team sub-section, such as by dragging and dropping, pinning, or otherwise associating selected virtual spaces with the team sub-section.

2 FIG.A In some examples, the group-based communication system is a channel-based messaging platform, as shown in. Within the group-based communication system, communication may be organized into channels, each dedicated to a particular topic and a set of users. Channels are generally a virtual space relating to a particular topic comprising messages and files posted by members of the channel.

104 For purposes of this discussion, a “message” can refer to any electronically generated digital object provided by a user using the user computing deviceand that is configured for display within a communication channel and/or other virtual space for facilitating communications (e.g., a virtual space associated with direct message communication(s), etc.) as described herein. A message may include any text, image, video, audio, or combination thereof provided by a user (using a user computing device). For instance, the user may provide a message that includes text, as well as an image and a video, within the message as message contents. In such an example, the text, image, and video would comprise the message. Each message sent or posted to a communication channel of the communication platform can include metadata comprising a sending user identifier, a message identifier, message contents, a group identifier, a communication channel identifier, or the like. In at least one example, each of the foregoing identifiers may comprise American Standard Code for Information Interchange (ASCII) text, a pointer, a memory address, or the like.

218 206 218 The channel discussion may persist for days, months, or years and provide a historical log of user activity. Members of a particular channel can post messages within that channel that are visible to other members of that channel together with other messages in that channel. Users may select a channel for viewing to see only those messages relevant to the topic of that channel without seeing messages posted in other channels on different topics. For example, a software development company may have different channels for each software product being developed, where developers working on each particular project can converse on a generally singular topic (e.g., project) without noise from unrelated topics. Because the channels are generally persistent and directed to a particular topic or group, users can quickly and easily refer to previous communications for reference. In some examples, the channel panemay display information related to a channel that a user has selected in the navigation pane. For example, a user may select the project_zen channel to discuss the ongoing software development efforts for Project Zen. In some examples, the channel panemay include a header comprising information about the channel, such as the channel name, the list of users in the channel, and other channel controls. Users may be able to pin items to the header for later access and add bookmarks to the header. In some examples, links to collaborative documents may be included in the header. In further examples, each channel may have a corresponding virtual space which includes channel-related information such as a channel summary, tasks, bookmarks, pinned documents, and other channel-related links which may be editable by members of the channel.

218 200 A communication channel or other virtual space can be associated with data and/or content other than messages, or data and/or content that is associated with messages. For example, non-limiting examples of additional data that can be presented via the channel paneof the user interfaceinclude collaborative documents (e.g., documents that can be edited collaboratively, in real-time or near real-time, etc.), audio and/or video data associated with a conversation, members added to and/or removed from the communication channel, file(s) (e.g., file attachment(s)) uploaded and/or removed from the communication channel), application(s) added to and/or removed from the communication channel, post(s) (data that can be edited collaboratively, in near real-time by one or members of a communication channel) added to and/or removed from the communication channel, description added to, modified, and/or removed from the communication channel, modifications of properties of the communication channel, etc.

218 222 222 222 224 224 222 226 226 230 218 226 218 The channel panemay include messages such as message, which is content posted by a user into the channel. Users may post text, images, videos, audio, or any other file as the message. In some examples, particular identifiers (in messages or otherwise) may be denoted by prefixing them with predetermined characters. For example, channels may be prefixed by the “#” character (as in #project_zen) and username may be prefixed by the “@” character (as in @J_Smith or @User_A). Messages such as the messagemay include an indication of which user posted the message and the time at which the message was posted. In some examples, users may react to messages by selecting a reaction button. The reaction buttonallows users to select an icon (sometimes called a reacji in this context), such as a thumbs up, to be associated with the message. Users may respond to messages, such as the message, of another user with a new message. In some examples, such conversations in channels may further be broken out into threads. Threads may be used to aggregate messages related to a particular conversation together to make the conversation easier to follow and reply to, without cluttering the main channel with the discussion. Under the message beginning the thread appears a thread reply preview. The thread reply previewmay show information related to the thread, such as, for example, the number of replies and the members who have replied. Thread replies may appear in a thread panethat may be separate from the channel paneand may be viewed by other members of the channel by selecting the thread reply previewin the channel pane.

218 230 228 228 222 228 228 228 228 In some examples, one or both of the channel paneand the thread panemay include a compose pane. In some examples, the compose paneallows users to compose and transmit messagesto the members of the channel or to those members of the channel who are following the thread (when the message is sent in a thread). The compose panemay have text editing functions such as bold, strikethrough, and italicize, and/or may allow users to format their messages or attach files such as collaborative documents, images, videos, or any other files to share with other members of the channel. In some examples, the compose panemay enable additional formatting options such as numbered or bulleted lists via either the user interface or an API. The compose panemay also function as a workflow trigger to initiate workflows related to a channel or message. In further examples, links or documents sent via the compose panemay include unfurl instructions related to how the content should be displayed.

2 FIG.B 216 illustrates a multimedia collaboration session (e.g., a synchronous multimedia collaboration session) that has been triggered from a channel, as shown in pane. Synchronous multimedia collaboration sessions may provide ambient, ad hoc multimedia collaboration in the group-based communication system. Users of the group-based communication system can quickly and easily join and leave these synchronous multimedia collaboration sessions at any time, without disrupting the synchronous multimedia collaboration session for other users. In some examples, synchronous multimedia collaboration sessions may be based around a particular topic, a particular channel, a particular direct message or multi-person direct message, or a set of users, while in other examples, synchronous multimedia collaboration sessions may exist without being tied to any channel, topic, or set of users.

216 Synchronous multimedia collaboration session panemay be associated with a session conducted for a plurality of users in a channel, users in a multi-person direct message conversation, or users in a direct message conversation. Thus, a synchronous multimedia collaboration session may be started for a particular channel, multi-person direct message conversation, or direct message conversation by one or more members of that channel or conversation. Users may start a synchronous multimedia collaboration session in a channel as a means of communicating with other members of that channel who are presently online. For example, a user may have an urgent decision and want immediate verbal feedback from other members of the channel. As another example, a synchronous multimedia collaboration session may be initiated with one or more other users of the group-based communication system through direct messaging. In some examples, the audience of a synchronous multimedia collaboration session may be determined based on the context in which the synchronous multimedia collaboration session was initiated. For example, starting a synchronous multimedia collaboration session in a channel may automatically invite the entire channel to attend. As another example. Starting a synchronous multimedia collaboration session allows the user to start an immediate audio and/or video conversation with other members of the channel without requiring scheduling or initiating a communication session through a third-party interface. In some examples, users may be directly invited to attend a synchronous multimedia collaboration session via a message or notification.

Synchronous multimedia collaboration sessions may be short, ephemeral sessions from which no data is persisted. Alternatively, in some examples, synchronous multimedia collaboration sessions may be recorded, transcribed, and/or summarized for later review. In other examples, contents of the synchronous multimedia collaboration session may automatically be persisted in a channel associated with the synchronous multimedia collaboration session. Members of a particular synchronous multimedia collaboration session can post messages within a messaging thread associated with that synchronous multimedia collaboration session that are visible to other members of that synchronous multimedia collaboration session together with other messages in that thread.

The multimedia in a synchronous multimedia collaboration session may include collaboration tools such as any or all of audio, video, screen sharing, collaborative document editing, whiteboarding, co-programming, or any other form of media. Synchronous multimedia collaboration sessions may also permit a user to share the user's screen with other members of the synchronous multimedia collaboration session. In some examples, members of the synchronous multimedia collaboration session may mark-up, comment on, draw on, or otherwise annotate a shared screen. In further examples, such annotations may be saved and persisted after the synchronous multimedia collaboration session has ended. A canvas may be created directly from a synchronous multimedia collaboration session to further enhance the collaboration between users.

216 216 232 232 232 232 232 232 232 216 216 234 216 234 2 FIG.B In some examples, a user may start a synchronous multimedia collaboration session via a toggle in synchronous multimedia collaboration session paneshown in. Once a synchronous multimedia collaboration session has been started, synchronous multimedia collaboration session panemay be expanded to provide information about the synchronous multimedia collaboration session such as how many members are present, which user is currently talking, which user is sharing the user's screen, and/or screen share preview. In some examples, users in the synchronous multimedia collaboration session may be displayed with an icon indicating that they are participating in the synchronous multimedia collaboration session. In further examples, an expanded view of the participants may show which users are active in the synchronous multimedia collaboration session and which are not. Screen share previewmay depict the desktop view of a user sharing the user's screen, or a particular application or presentation. Changes to the user's screen, such as the user advancing to the next slide in a presentation, will automatically be depicted in screen share preview. In some examples, the screen share previewmay be actuated to cause the screen share previewto be enlarged such that it is displayed as its own pane within the group-based communication system. In some examples, the screen share previewcan be actuated to cause the screen share previewto pop out into a new window or application separate and distinct from the group-based communication system. In some examples, the synchronous multimedia collaboration session panemay comprise tools for the synchronous multimedia collaboration session allowing a user to mute the user's microphone or invite other users. In some examples, the synchronous multimedia collaboration session panemay comprise a screen share buttonthat may permit a user to share the user's screen with other members of the synchronous multimedia collaboration session pane. In some examples, the screen share buttonmay provide a user with additional controls during a screen share. For example, a user sharing the user's screen may be provided with additional screen share controls to specify which screen to share, to annotate the shared screen, or to save the shared screen.

216 206 206 216 200 216 216 In some cases, the synchronous multimedia collaboration session panemay persist in the navigation paneregardless of the state of the group-based communication system. In some examples, when no synchronous multimedia collaboration session is active and/or depending on which item is selected from the navigation pane, the synchronous multimedia collaboration session panemay be hidden or removed from being presented via the user interface. In some instances, when the paneis active, the panecan be associated with a currently selected channel, direct message, or multi-person direct message such that a synchronous multimedia collaboration session may be initiated and associated with the currently selected channel, direct message, or multi-person direct message.

A list of synchronous multimedia collaboration sessions may include one or more active synchronous multimedia collaboration sessions selected for recommendation. For example, the synchronous multimedia collaboration sessions may be selected from a plurality of currently active synchronous multimedia collaboration sessions. Further, the synchronous multimedia collaboration sessions may be selected based in part on user interaction with the sessions or some association of the instant user with the sessions or users involved in the sessions. For example, the recommended synchronous multimedia collaboration sessions may be displayed based in part on the instant user having been invited to a respective synchronous multimedia collaboration session or having previously collaborated with the users in the recommended synchronous multimedia collaboration session. In some examples, the list of synchronous multimedia collaboration sessions further includes additional information for each respective synchronous multimedia collaboration session, such as an indication of the participating users or number of participating users, a topic for the synchronous multimedia collaboration session, and/or an indication of an associated group-based communication channel, multi-person direct message conversation, or direct message conversation.

In some examples, a list of recommended active users may include a plurality of group-based communication system users recommended based on at least one of user activity, user interaction, or other user information. For example, the list of recommended active users may be selected based on an active status of the users within the group-based communication system; historic, recent, or frequent user interaction with the instant user (such as communicating within the group-based communication channel); or similarity between the recommended users and the instant user (such as determining that a recommended user shares common membership in channels with the instant user). In some examples, machine learning techniques such as cluster analysis can be used to determine recommended users. The list of recommended active users may include status user information for each recommended user, such as whether the recommended user is active, in a meeting, idle, in a synchronous multimedia collaboration session, or offline. In some examples, the list of recommended active users further comprises a plurality of actuatable buttons corresponding to some of or all the recommended users (for example, those recommended users with a status indicating availability) that, when selected, may be configured to initiate at least one of a text-based communication session (such as a direct message conversation) or a synchronous multimedia collaboration session.

In some examples, one or more recommended asynchronous multimedia collaboration sessions or meetings can be displayed in an asynchronous meeting section. By contrast with a synchronous multimedia collaboration session (described above), an asynchronous multimedia collaboration session allows each participant to collaborate at a time convenient to them. This collaboration participation is then recorded for later consumption by other participants, who can generate additional multimedia replies. In some examples, the replies are aggregated in a multimedia thread (for example, a video thread) corresponding to the asynchronous multimedia collaboration session. For example, an asynchronous multimedia collaboration session may be used for an asynchronous meeting where a topic is posted in a message at the beginning of a meeting thread and participants of the meeting may reply by posting a message or a video response. The resulting thread then comprises any documents, video, or other files related to the asynchronous meeting. In some examples, a preview of a subset of video replies may be shown in the asynchronous collaboration session or thread. This can allow, for example, a user to jump to a relevant segment of the asynchronous multimedia collaboration session or to pick up where they left off previously.

2 FIG.C 200 252 252 252 illustrates user interfacedisplaying a connect pane. The connect panemay provide tools and resources for users to connect across different organizations, where each organization may have their own (normally private) instance of the group-based communication system or may not yet belong to the group-based communication system. For example, a first software company may have a joint venture with a second software company with whom they wish to collaborate on jointly developing a new software application. The connect panemay enable users to determine which other users and organizations are already within the group-based communication system, and to invite those users and organizations currently outside of the group-based communication system to join.

252 254 256 258 260 262 254 The connect panemay comprise a connect search bar, recent contacts, connections, a create channel button, and/or a start direct message button. In some examples, the connect search barmay permit a user to search for users within the group-based communication system. In some examples, only users from organizations that have connected with the user's organization will be shown in the search results. In other examples, users from any organization that uses the group-based communication system can be displayed. In still other examples, users from organizations that do not yet use the group-based communication can also be displayed, allowing the searching user to invite them to join the group-based communication system. In some examples, users can be searched for via their group-based communication system username or their email address. In some examples, email addresses may be suggested or autocompleted based on external sources of data such as email directories or the searching user's contact list.

In some examples, external organizations as well as individual users may be shown in response to a user search. External organizations may be matched based on an organization name or internet domain, as search results may include organizations that have not yet joined the group-based communication system (similar to searching and matching for a particular user, discussed above). External organizations may be ranked based in part on how many users from the user's organization have connected with users of the external organization. Responsive to a selection of an external organization in a search result, the searching user may be able to invite the external organization to connect via the group-based communication system.

256 256 256 256 In some examples, the recent contactsmay display users with whom the instant user has recently interacted. The recent contactsmay display the user's name, company, and/or a status indication. The recent contactsmay be ordered based on which contacts the instant user most frequently interacts with or based on the contacts with whom the instant user most recently interacted. In some examples each recent contact of the recent contactsmay be an actuatable control allowing the instant user to quickly start a direct message conversation with the recent contact, invite them to a channel, or take any other appropriate user action for that recent contact.

258 258 In some examples, the connectionsmay display a list of companies (e.g., organizations) with which the user has interacted. For each company, the name of the company may be displayed along with the company's logo and an indication of how many interactions the user has had with the company, for example the number of conversations. In some examples, each connection of the connectionsmay be an actuatable control allowing the instant user to quickly invite the external organization to a shared channel, display recent connections with that external organization, or take any other appropriate organization action for that connection.

260 260 In some examples, the create channel buttonallows a user to create a new shared channel between two different organizations. Selecting the create channel buttonmay further allow a user to name the new connect channel and enter a description for the connect channel. In some examples, the user may select one or more external organizations or one or more external users to add to the shared channel. In other examples, the user may add external organizations or external users to the shared channel after the shared channel is created. In some examples, the user may elect whether to make the connect channel private (e.g., accessible only by invitation from a current member of the private channel).

262 In some examples, the start direct message buttonallows a user to quickly start a direct message (or multi-person direct message) with external users at an external organization. In some examples, the external user identifier at an external organization may be supplied by the instant user as the external user's group-based communication system username or as the external user's email address. In some examples, an analysis of the email domain of the external user's email address may affect the message between the user and the external user. For example, the external user's identifier may indicate (for example, based on an email address domain) that the user's organization and the external user's organization are already connected. In some such examples, the email address may be converted to a group-based communication system username. Alternatively, the external user's identifier may indicate that the external user's organization belongs to the group-based communication system but is not connected to the instant user's organization. In some such examples, an invitation to connect to the instant user's organization may be generated in response. As another alternative, the external user may not be a member of the group-based communication system, and an invitation to join the group-based communication system as a guest or a member may be generated in response.

2 FIG.D 3 3 FIGS.A andB 200 264 illustrates user interfacedisplaying a collaboration document pane. A collaborative document may be any file type, such as a PDF, video, audio, word processing document, etc., and is not limited to a word processing document or a spreadsheet. A collaborative document may be modified and edited by two or more users. A collaborative document may also be associated with different user permissions, such that based on a user's permissions for the document (or sections of the document as discussed below), the user may selectively be permitted to view, edit, or comment on the collaborative document (or sections of the collaborative document). As such, users within the set of users having access to the document may have varying permissions for viewing, editing, commenting, or otherwise interfacing with the collaborative document. In some examples, permissions can be determined and/or assigned automatically based on how document(s) are created and/or shared. In some examples, permission can be determined manually. Collaborative documents may allow users to simultaneously or asynchronously create and modify documents. Collaborative documents may integrate with the group-based communication system and can both initiate workflows and be used to store the results of workflows, which are discussed further below with respect to.

200 In some examples, the user interfacecan comprise one or more collaborative documents (or one or more links to such collaborative documents). A collaborative document (also referred to as a document or canvas) can include a flexible workspace for curating, organizing, and sharing collections of information between users. Such documents may be associated with a synchronous multimedia collaboration session, an asynchronous multimedia collaboration session, a channel, a multi-person direct message conversation, and/or a direct message conversation. Shared canvases can be configured to be accessed and/or modified by two or more users with appropriate permissions. Alternatively or in addition, a user might have one or more private documents that are not associated with any other users.

Further, such documents can be @mentioned, such that particular documents can be referred to within channels (or other virtual spaces or documents) and/or other users can be @mentioned within such a document. For example, @mentioning a user within a document can provide an indication to that user and/or can provide access to the document to the user. In some examples, tasks can be assigned to a user via an @mention and such task(s) can be populated in the pane or sidebar associated with that user.

268 268 In some examples, a channel and a collaborative documentcan be associated such that when a comment is posted in a channel it can be populated to a document, and vice versa.

206 In some examples, when a first user interacts with a collaborative document, the communication platform can identify a second user account associated with the collaborative document and present an affordance (e.g., a graphical element) in a sidebar (e.g., the navigation pane) indicative of the interaction. Further, the second user can select the affordance and/or a notification associated with or representing the interaction to access the collaborative document, to efficiently access the document and view the update thereto.

In some examples, as one or more users interact with a collaborative document, an indication (e.g., an icon or other user interface element) can be presented via user interfaces with the collaborative document to represent such interactions. For examples, if a first instance of the document is presently open on a first user computing device of a first user, and a second instance of the document is presently open on a second user computing device of a second user, one or more presence indicators can be presented on the respective user interfaces to illustrate various interactions with the document and by which user. In some examples, a presence indicator may have attributes (e.g., appearance attributes) that indicate information about a respective user, such as, but not limited to, a permission level (e.g., edit permissions, read-only access, etc.), virtual-space membership (e.g., whether the member belongs to a virtual space associated with the document), and the manner in which the user is interacting with the document (e.g., currently editing, viewing, open but not active, etc.).

In some examples, a preview of a collaborative document can be provided. In some examples, a preview can comprise a summary of the collaborative document and/or a dynamic preview that displays a variety of content (e.g., as changing text, images, etc.) to allow a user to quickly understand the context of a document. In some examples, a preview can be based on user profile data associated with the user viewing the preview (e.g., permissions associated with the user, content viewed, edited, created, etc. by the user), and the like.

In some examples, a collaborative document can be created independent of or in connection with a virtual space and/or a channel. A collaborative document can be posted in a channel and edited or interacted with as discussed herein, with various affordances or notifications indicating presence of users associated with documents and/or various interactions.

In some examples, a machine learning model can be used to determine a summary of contents of a channel and can create a collaborative document comprising the summary for posting in the channel. In some examples, the communication platform may identify the users within the virtual space, actions associated with the users, and other contributions to the conversation to generate the summary document. As such, the communication platform can enable users to create a document (e.g., a collaborative document) for summarizing content and events that transpired within the virtual space.

In some examples, documents can be configured to enable sharing of content including (but not limited to) text, images, videos, GIFs, drawings (e.g., user-generated drawings via a drawing interface), or gaming content. In some examples, users accessing a canvas can add new content or delete (or modify) content previously added. In some examples, appropriate permissions may be required for a user to add content or to delete or modify content added by a different user. Thus, for example, some users may only be able to access some or all of a document in view-only mode, while other users may be able to access some or all of the document in an edit mode allowing those users to add or modify its contents. In some examples, a document can be shared via a message in a channel, multi-person direct message, or direct message, such that data associated with the document is accessible to and/or rendered interactable for members of the channel or recipients of the multi-person direct message or direct message.

264 266 268 266 In some examples, the collaboration document panemay comprise collaborative document toolbarand collaborative document. In some examples, collaborative document toolbarmay provide the ability to edit or format posts, as discussed herein.

In some examples, collaborative documents may comprise free-form unstructured sections and workflow-related structured sections. In some examples, unstructured sections may include areas of the document in which a user can freely modify the collaborative document without any constraints. For example, a user may be able to freely type text to explain the purpose of the document. In some examples, a user may add a workflow or a structured workflow section by typing the name of (or otherwise mentioning) the workflow. In further examples, typing the “at” sign (@), a previously selected symbol, or a predetermined special character or symbol may provide the user with a list of workflows the user can select to add to the document. For example, a user may indicate that a marketing team member needs to sign off on a proposal by typing “! Marketing Approval” to initiate a workflow that culminates in a member of the marketing team approving the proposal. Placement of an exclamation point prior to the group name of “Marketing Approval” initiates a request for a specification action, in this case routing the proposal for approval. In some examples, structured sections may include text entry, selection menus, tables, checkboxes, tasks, calendar events, or any other document section. In further examples, structured sections may include text entry spaces that are a part of a workflow. For example, a user may enter text into a text entry space detailing a reason for approval, and then select a submit button that will advance the workflow to the next step of the workflow. In some examples, the user may be able to add, edit, or remove structured sections of the document that make up the workflow components.

In examples, sections of the collaborative document may have individual permissions associated with them. For example, a collaborative document having sections with individual permissions may provide a first user permission to view, edit, or comment on a first section, while a second user does not have permission to view, edit, or comment on the first section. Alternatively, a first user may have permissions to view a first section of the collaborative document, while a second user has permissions to both view and edit the first section of the collaborative document. The permissions associated with a particular section of the document may be assigned by a first user via various methods, including manual selection of the particular section of the document by the first user or another user with permission to assign permissions, typing or selecting an “assignment” indicator, such as the “@” symbol, or selecting the section by a name of the section. In further examples, permissions can be assigned for a plurality of collaborative documents at a single instance via these methods. For example, a plurality of collaborative documents each has a section entitled “Group Information,” where the first user with permission to assign permissions desires an entire user group to have access to the information in the “Group Information” section of the plurality of collaborative documents. In examples, the first user can select the plurality of collaborative documents and the “Group Information” section to effectuate permissions to access (or view, edit, etc.) to the entire user group the “Group Information” section of each of the plurality of collaborative documents.

3 FIG.A 300 302 302 304 306 308 314 illustrates user interfacefor automation in the group-based communication system. Automation, also referred to as workflows, allow users to automate functionality within the group-based communication system. Workflow builderis depicted which allows a user to create new workflows, modify existing workflows, and review the workflow activity. Workflow buildermay comprise a workflow tab, an activity tab, and/or a settings tab. In some examples, workflow builder may include a publish buttonwhich permits a user to publish a new or modified workflow.

304 310 310 312 314 The workflow tabmay be selected to enable a user to create a new workflow or to modify an existing workflow. For example, a user may wish to create a workflow to automatically welcome new users who join a channel. A workflow may comprise workflow steps. Workflow stepsmay comprise at least one trigger which initiates the workflow and at least one function which takes an action once the workflow is triggered. For example, a workflow may be triggered when a user joins a channel and a function of the workflow may be to post within the channel welcoming the new user. In some examples, workflows may be triggered from a user action, such as a user reacting to a message, joining a channel, or collaborating in a collaborative document, from a scheduled date and time, or from a web request from a third-party application or service. In further examples, workflow functionality may include sending messages or forms to users, channels, or any other virtual space, modifying collaborative documents, or interfacing with applications. Workflow functionality may include workflow variables. For example, a welcome message may include a user's name via a variable to allow for a customized message. Users may edit existing workflow steps or add new workflow steps depending on the desired workflow functionality. Once a workflow is complete, a user may publish the workflow using publish button. A published workflow will wait until it is triggered, at which point the functions will be executed.

306 306 306 306 Activity tabmay display information related to a workflow's activity. In some examples, the activity tabmay show how many times a workflow has been executed. In further examples, the activity tabmay include information related to each workflow execution including the status, last activity date, time of execution, user who initiated the workflow, and other relevant information. The activity tabmay permit a user to sort and filter the workflow activity to find useful information.

308 308 A settings tabmay permit a user to modify the settings of a workflow. In some examples, a user may change a title or an icon associated with the workflow. Users may also manage the collaborators associated with a workflow. For example, a user may add additional users to a workflow as collaborators such that the additional users can modify the workflow. In some examples, settings tabmay also permit a user to delete a workflow.

3 FIG.B 316 318 336 320 322 324 326 320 depicts elements related to workflows in the group-based communication system and is referred to generally by reference numeral. In various examples, trigger(s)can be configured to invoke execution of function(s)responsive to user instructions. A trigger initiates function execution and may take the form of one or more schedule(s), webhook(s), shortcut(s), and/or slash command(s). In some examples, the scheduleoperates like a timer so that a trigger may be scheduled to fire periodically or once at a predetermined point in the future. In some examples, an end user of an event-based application sets an arbitrary schedule for the firing of a trigger, such as once-an-hour or every day at 9:15 AM.

318 322 322 322 Additionally, triggersmay take the form of the webhook. The webhookmay be a software component that listens at a webhook URL and port. In some examples, a trigger fires when an appropriate HTTP request is received at the webhook URL and port. In some examples, the webhookrequires proper authentication such as by way of a bearer token. In other examples, triggering will be dependent on payload content.

318 324 324 Another source of one of the trigger(s)is a shortcut in the shortcut(s). In some examples, the shortcut(s)may be global to a group-based communication system and are not specific to a group-based communication system channel or workspace. Global shortcuts may trigger functions that are able to execute without the context of a particular group-based communication system message or group-based communication channel. By contrast, message- or channel-based shortcuts are specific to a group-based communication system message or channel and operate in the context of the group-based communication system message or group-based communication channel.

318 326 326 326 336 A further source of one of triggersmay be provided by way of slash commands. In some examples, the slash command(s)may serve as entry points for group-based communication system functions, integrations with external services, or group-based communication system message responses. In some examples, the slash commandsmay be entered by a user of a group-based communication system to trigger execution of application functionality. Slash commands may be followed by slash-command-line parameters that may be passed along to any group-based communication system function that is invoked in connection with the triggering of a group-based communication system function such as one of functions.

328 334 328 334 334 330 328 An additional way in which a function is invoked is when an event (such as one of events) matches one or more conditions as predetermined in a subscription (such as subscription). Eventsmay be subscribed to by any number of subscriptions, and each subscription may specify different conditions and trigger a different function. In some examples, events are implemented as group-based communication system messages that are received in one or more group-based communication system channels. For example, all events may be posted as non-user visible messages in an associated channel, which is monitored by subscriptions. App eventsmay be group-based communication system messages with associated metadata that are created by an application in a group-based communication system channel. Eventsmay also be direct messages received by one or more group-based communication system users, which may be an actual user or a technical user, such as a bot. A bot is a technical user of a group-based communication system that is used to automate tasks. A bot may be controlled programmatically to perform various functions. A bot may monitor and help process group-based communication system channel activity as well as post messages in group-based communication system channels and react to members'in-channel activity. Bots may be able to post messages and upload files as well as be invited or removed from both public and private channels in a group-based communication system.

328 332 328 328 Eventsmay also be any event associated with a group-based communication system. Such group-based communication system eventsinclude events relating to the creation, modification, or deletion of a user account in a group-based communication system or events relating to messages in a group-based communication system channel, such as creating a message, editing or deleting a message, or reacting to a message. Eventsmay also relate to creation, modification, or deletion of a group-based communication system channel or the membership of a channel. Eventsmay also relate to user profile modification or group creation, member maintenance, or group deletion.

334 336 As described above, subscriptionindicates one or more conditions that, when matched by events, trigger a function. In some examples, a set of event subscriptions is maintained in connection with a group-based communication system such that when an event occurs, information regarding the event is matched against a set of subscriptions to determine which (if any) of functionsshould be invoked. In some examples, the events to which a particular application may subscribe are governed by an authorization framework. In some instances, the event types matched against subscriptions are governed by OAuth permission scopes that may be maintained by an administrator of a particular group-based communication system.

336 318 328 336 336 338 340 342 In some examples, functionscan be triggered by triggersand eventsto which the function is subscribed. Functionstake zero or more inputs, perform processing (potentially including accessing external resources), and return zero or more results. Functionsmay be implemented in various forms. First, there are group-based communication system built-ins, which are associated with the core functionality of a particular group-based communication system. Some examples include creating a group-based communication system user or channel. Second are no-code builder functionsthat may be developed by a user of a group-based communication system user in connection with an automation user interface such as workflow builder user interface. Third, there are hosted-code functionsthat are implemented by way of group-based communication system applications developed as software code in connection with a software development environment.

336 344 344 336 318 326 342 344 344 318 328 336 3 FIG.B These various types of functionsmay in turn integrate with APIs. In some examples, APIsare associated with third-party services that functionsemploy to provide a custom integration between a particular third-party service and a group-based communication system. Examples of third-party service integrations include video conferencing, sales, marketing, customer service, project management, and engineering application integration. In such an example, one of the triggerswould be a slash commandthat is used to trigger a hosted-code function, which makes an API call to a third-party video conferencing provider by way of one of the APIs. As shown in, the APIsmay themselves also become a source of any number of triggersor events. Continuing the above example, successful completion of a video conference would trigger one of the functionsthat sends a message initiating a further API call to the third-party video conference provider to download and archive a recording of the video conference and store it in a group-based communication system channel.

344 336 346 346 346 346 346 318 328 346 3 FIG.B In addition to integrating with APIs, functionsmay persist and access data in tables. In some examples, tablesare implemented in connection with a database environment associated with a serverless execution environment in which a particular event-based application is executing. In some instances, tablesmay be provided in connection with a relational database environment. In other examples, tablesare provided in connection with a database mechanism that does not employ relational database techniques. As shown in, in some examples, reading or writing certain data to one or more of tables, or data in table matching predefined conditions, is itself a source of some number of triggersor events. For example, if tablesare used to maintain ticketing data in an incident-management system, then a count of open tickets exceeding a predetermined threshold may trigger a message being posted in an incident-management channel in the group-based communication system.

4 FIG. 400 402 depicts a block diagramillustrating the interactions of components of a prompt management componentconfigured to generate prompts that may be shared between user profiles and/or virtual spaces.

400 400 404 404 1 404 2 406 400 402 402 408 404 2 410 412 In some examples, the example block diagrammay be implemented with and/or in conjunction with a group-based communication platform (or a sales-based platform). In this example, the example, block diagrammay include one or more client devices(e.g., client device() and client device()) configured to communicate with a communication platform via a communication network. Additionally, the example block diagrammay include a prompt management componentconfigured to generate sharable prompts to machine-learned systems within a communication platform. The prompt management componentmay include a prompt generating componentconfigured to generate sharable prompt(s) to be displayed via the client device(), a machine-learned componentconfigured to generate a response to the sharable prompt, and/or a response displaying componentconfigured to display the response to a virtual space within the communication platform.

400 404 400 404 1 404 2 404 1 404 2 404 1 404 2 404 1 404 2 402 406 1 FIG. In some examples, the example block diagrammay include one or more client devicesconfigured to communicate with a communication platform. The example block diagramincludes a client device() and a client device(). In this example, the client device() and the client device() may be a laptop; however, in other examples, the client device() and the client device() may be any fixed computing device, such as a personal computer or a computer workstation, or any of a variety of mobile devices, such as a portable digital assistant, mobile telephone, smartphone, laptop computer, tablet computer, wearable devices, watch, or any combination of the aforementioned devices. In this example, the client device() and the client device() may communicate with the prompt management componentvia the communication network, as described in.

414 404 1 404 1 414 414 In some examples, a first user profile may submit a requestvia the client device(). That is, the first user profile may access the communication platform via the client device() and request, from within a first virtual space, that a sharable prompt to a machine-learned system be generated for sharing within a second (and potentially different) virtual space. As noted above, a virtual space may be a channel, a direct messaging instance, a board, a canvas, etc. Further, the first user profile may be a member and/or an administrator of the first and/or second virtual spaces. In some examples, the virtual space may include one or more buttons that, upon selection are configured to generate a requestto create a sharable prompt to be shared with other virtual space(s) and/or user profile(s). In some cases, the requestmay include the prompt that is to be included in the sharable prompt (or message) and/or a specific machine-learned model to utilize with the sharable prompt.

402 408 404 2 408 414 404 1 408 408 408 416 416 418 420 416 420 418 420 418 4 FIG. 4 FIG. In some examples, the prompt management componentmay include a prompt generating componentconfigured to generate sharable prompt(s) to be displayed via the client device(). As shown, the prompt generating componentmay receive the requestfrom the client device(). As indicated above, the prompt generating componentmay generate a message (or sharable prompt) that may be posted to one or more virtual spaces such that when selected, the associated prompt may be input to the associated machine-learned system and a response may be output to the requesting user profile. As such, the prompt generating componentmay generate a sharable prompt. As shown in, the prompt generating componentmay include a subcomponent called the sharable prompt. The sharable promptmay include subcomponents such as the promptand/or the machine-learned model. In this example,illustrates that each sharable promptmay include a prompt (e.g., question, request, command, etc.) and/or a machine-learned modelto use. As an example, the first user profile may indicate that the promptcorresponds to “how is scheduling handled at my company.” Further, the first user profile may indicate that the machine-learned modelmay be a scheduling model that has been trained on the topic associated with the prompt.

416 402 416 402 416 416 416 416 416 416 Based on generating the sharable prompt, the first user profile may request that the prompt management componentpost the sharable promptto a virtual space. In such cases, the prompt management componentmay post the sharable promptto the requested virtual space(s) such that the sharable promptis visible and/or accessible to the one or more associated user profiles. The request to post the sharable promptto the virtual space(s) may include pasting the sharable prompt(or message) into a text box of the virtual space and selecting ‘post.’ However, in other cases, the request to post the sharable promptto the virtual space may be associated with the request to generate the sharable prompt. That is, the request to generate a sharable prompt may result in an overlay window providing the first user profile options as to the prompt and/or the machine-learned model to include in the sharable prompt. When the first user profile selects the ‘generate’ or ‘create’ button, the generated sharable prompt may be posted to the virtual space within which the first user profile is currently accessing.

416 404 2 422 416 416 422 416 422 410 Based on the sharable promptbeing displayed to the virtual space, a second user profile may use the client device() to submit a requestto access and/or utilize the sharable prompt. As noted above, the sharable promptmay be viewed as a message within the virtual space that allows the users of the virtual space to interact with a machine-learned system. In this example, the second user profile (which may be different or the same as the first user profile) may submit the requestby selecting (or clicking on) the sharable prompt. As shown, the requestmay be sent to the machine-learned component.

402 410 410 422 422 410 418 420 410 416 420 418 410 412 In some examples, the prompt management componentmay include a machine-learned componentconfigured to generate a response to the sharable prompt. As shown, the machine-learned componentmay receive the request. Based on receiving the request, the machine-learned componentmay access the user profile of the requesting user profile, retrieve user data associated with the requesting user profile, and input the user data and the promptinto the machine-learned model. The machine-learned componentmay include context data (e.g., user data) to be able to tailor the model output to the requesting user profile. That is, despite multiple different user profiles requesting to interact with the sharable prompt, the output data of the machine-learned modelmay be unique for some or all user profiles based on the user data that was input into the machine-learned model. In some examples, based on outputting the response to the prompt, the machine-learned componentmay send the response to the response displaying component.

402 412 412 420 410 412 412 424 418 420 424 In some examples, the prompt management componentmay include a response displaying componentconfigured to display the response to a virtual space within the communication platform. As shown, the response displaying componentmay receive the output data of the machine-learned modelfrom the machine-learned component. In this case, the response displaying componentmay cause the output data to be displayed to the virtual space within which the request was made. In some cases, the response displaying componentmay display the responseto the promptand/or an interactable user interface such that the second user profile may continue to interact with the machine-learned modelto ask follow-up questions, etc. In some examples, the responsemay be visible to the requesting user profile being omitted from the virtual space of the other user profile(s) of the virtual space.

5 FIG. 500 depicts an example user interfacethat illustrates generating a sharable prompt to be shared within a virtual space.

500 500 502 502 502 504 506 508 510 500 504 500 506 500 508 500 504 512 512 504 612 600 1 3 FIGS.-B In some examples, the example user interfacemay be similar or identical to the example user interfaces of. In some examples, the user interfacemay include a navigation pane. As described above, the navigation panemay present different data and/or options to a user. In some examples, the navigation panemay include different graphical indicators which may be associated with a variety of virtual spaces, such as channels, direct messaging instances, threads, canvas, etc. The user interfacemay include any number of channelswhich may be used to organize conversations between and amongst users according to topics. Further, the user interfacemay include any number of direct messaging instanceswhich may be used to organize conversations between a select number of users. The user interfacemay include a threadswhich may be used to access responses to one or more user posts. Additionally, the user interfacemay include a canvas 510 section which may be used to organize data or content that may be important to a user or a member of the virtual space. In this example, when a user selects the channels, a channel panemay be presented. In some examples, the channel panecan include access to content associated with the channel(e.g., the Help-Tech channel). In this example, the communication platform may render the help-tech channel to the channel paneof the user interface.

500 514 514 516 516 518 518 5 FIG. In some examples, the user interfacemay include a channel viewing paneto view one or more types of data that have been posted by the communication platform. As shown in, adjacent to the channel viewing panemay also be a thread panewhich may include an interaction between an AI agent and a user profile of the help-tech channel. As shown, the thread panemay include a prompt by the user profile (e.g., J. Smith) that requests to know “What is my most used emoji?” In some cases, the user profile may determine that the prompt may be useful to other user profiles. As such, the user profile may select the three horizontally adjacent dots next to the name of the user profile which may cause the overlay windowto be displayed. The overlay windowmay provide one or more options for the user with respect to the prompt. As shown, the first option is to “Share AI Prompt.” Upon selecting the “Share AI Prompt” button, the communication platform may generate a sharable prompt that includes the prompt “What is my most used emoji?”

520 514 520 Based on generating the sharable prompt, the user profile (e.g., J. Smith) may request that the sharable prompt be posted to one or more virtual spaces. In this case, the user profile may request to post the sharable prompt within the help-tech channel. Based on receiving the request, the communication platform may post the sharable prompt as a messageto the channel viewing panesuch that all user profiles within the help-tech channel can view the sharable prompt. In some examples, when a user profile of the help-tech channel selects the message, the communication platform may retrieve user data of the requesting user profile and input the user data and/or the prompt (e.g., what is my most used emoji”) into a machine-learned model. In some cases, the response may be output to a separate thread pane.

6 FIG. 600 depicts an example user interfacethat illustrates generating a sharable prompt by indicating the prompt and/or the machine-learned model to include therein.

600 600 602 602 602 604 606 608 610 600 604 600 606 600 608 600 610 610 612 612 610 612 600 1 3 5 FIGS.-B and In some examples, the example user interfacemay be similar or identical to the example user interfaces of. In some examples, the user interfacemay include a navigation pane. As described above, the navigation panemay present different data and/or options to a user. In some examples, the navigation panemay include different graphical indicators which may be associated with a variety of virtual spaces, such as channels, direct messaging instances, threads, canvas, etc. The user interfacemay include any number of channelswhich may be used to organize conversations between and amongst users according to topics. Further, the user interfacemay include any number of direct messaging instanceswhich may be used to organize conversations between a select number of users. The user interfacemay include a threadswhich may be used to access responses to one or more user posts. Additionally, the user interfacemay include a canvassection which may be used to organize data or content that may be important to a user or a member of the virtual space. In this example, when a user selects the canvas, a canvas panemay be presented. In some examples, the canvas panecan include access to content associated with the canvas. In this example, the communication platform may render the canvas 610 section to the canvas paneof the user interface.

600 614 614 616 616 616 618 620 622 618 622 616 624 620 618 6 FIG. In some examples, the user interfacemay include a canvas viewing paneto view one or more types of data that have been posted by the communication platform. As shown in, the canvas viewing panemay also include an overlay windowallowing a user profile to generate a sharable prompt. The overlay windowmay include one or more options for the user profile when determining which data is to be included in the sharable prompt. For example, the overlay windowmay include a fieldfor “selecting an AI model” to include in the sharable prompt (e.g., an HR model, a scheduling model, etc.), a fieldfor inputting the prompt (or custom prompt) (e.g., the question, command, and/or request to input into the model) to be included in the sharable prompt, and/or a fieldfor labeling the button (or visible sharable prompt). In this example, the fieldmay indicate that the requesting user profile intends for a scheduling model to be used in the sharable prompt and the fieldmay indicate that the button is to be labeled “schedule master.” Based on submitting the request (e.g., submitting the data within the overlay window), the communication platform may display a message(or the sharable prompt) that, when selected, may input the prompt from fieldinto the machine-learned model from field.

7 FIG. 7 FIG. 1 FIG. 7 FIG. 7 FIG. 700 100 100 100 is a flow diagram illustrating an example processfor receiving a request to share a prompt, generating a message that includes the prompt, displaying the message, receiving a request to utilize the message, receiving output data based on inputting the message into a machine-learned model, causing the output data to be displayed via a virtual space. The processes illustrated inare described with reference to components described above with reference to the example environmentshown infor convenience and ease of understanding. However, the processes illustrated inare not limited to being performed using the components described above with reference to the example environment. Moreover, the components described above with reference to the example environmentare not limited to performing the processes illustrated in.

700 Processis illustrated as collections of blocks in a logical flow diagram, representing sequences of operations, some or all of which can be implemented in hardware, software, or a combination thereof. In the context of software, the blocks represent computer-executable instructions stored on one or more computer-readable media that, when executed by one or more processors, perform the recited operations. Generally, computer-executable instructions include routines, programs, objects, components, encryption, deciphering, compressing, recording, data structures, and the like that perform particular functions or implement particular abstract data types. The order in which the operations are described should not be construed as a limitation. Any number of the described blocks can be combined in any order and/or in parallel to implement the processes, or alternative processes, and not all of the blocks need to be executed in all examples. For discussion purposes, the processes herein are described in reference to the frameworks, architectures and environments described in the examples herein, although the processes may be implemented in a wide variety of other frameworks, architectures or environments.

702 700 At operation, the processcan include receiving, from a first user profile, a first request to share a prompt. A virtual space may be a communication channel, a direct messaging instance, a canvas, a list, a board, etc. In some examples, the virtual space may include a machine-learned system. In some cases, the member(s) or subscriber(s) of the virtual space may be able to access and/or utilize the machine-learned system. For example, the user profile may ask the machine-learned model questions, request that the machine-learned system perform various tasks, etc. As an example, a user profile may ask the machine-learned system “what is my most frequently used emoji?” In this example, the machine-learned system may access the user profile data (or user data), determine the most frequently used emoji based on such user data, and cause the answer to be displayed via the virtual space. In some examples, the questions, the commands, the requests, etc. to be input into the machine-learned model (or system) may be considered as the prompt. In some examples, a user profile may request to share a prompt that was previously answered by the machine-learned system with one or more other user profiles and/or virtual spaces. That is, the first user profile may determine that the prompt they previously input into the machine-learned system (e.g., “what is my most frequently used emoji”) may be useful and/or helpful for other users in the same or different virtual spaces. As such, the user profile may select a user interface element (e.g., button) proximate the prompt and request that the prompt be shared (or sharable). Upon selecting the user interface element, the virtual space may cause a popup interface to be displayed. The popup interface may include an option to request that the prompt input into the machine-learned system be shared. The first user profile may select the option which may send a request to the communication platform to generate the shared prompt.

704 700 At operation, the processcan include generating, in response to the first request, a message that includes the prompt. In this example, when generating the sharable prompt, the communication platform may receive instruction from the first user profile as to the prompt (e.g., question, command, etc.) to include in the sharable prompt. Further, the communication platform may receive instruction as to the type of machine-learned model to include in the sharable prompt. In some cases, the sharable prompt may be viewed as a user interface element (or button) or message when the sharable prompt is posted to a virtual space. Additionally or alternatively, when determining which data to include in the sharable prompt, the user profile may indicate the specific prompt to use in the sharable prompt and/or the specific machine-learned model to use in the sharable prompt. That is, the user profile can define the prompt to use and/or which of the one or more different types of machine-learned models to use when answering the prompt. In some cases, the communication platform may include different types of machine-learned models such as an HR model, a scheduling model, etc. As such, the user profile may use different types of models for different sharable prompts.

706 700 At operation, the processcan include receiving, from the first user profile, a second request to post the message to a virtual space. In this case, the first user profile may share the message with other user profiles via one or more different virtual spaces. That is, as noted above, the first user profile may determine that the prompt previously input into the machine-learned system may be useful for other user profiles. As such, the first user profile may navigate to a virtual space with which the user profile(s) are associated. This virtual space may be a communication channel, a direct messaging instance, a canvas, etc. In this case, the intended recipient user profile(s) may be members of the virtual space. In such cases, the first user profile may input the message (or sharable prompt) into a text box of the intended virtual space. Based on entering the message into the text box, the first user profile may request that the message be posted to the new virtual space such that the intended recipients may view the sharable prompt via the new virtual space. However, this is not intended to be limiting; in other cases, the first user profile may request to post the message (or sharable prompt) to the same virtual space within which the sharable prompt was generated.

In some examples and based at least in part on generating the sharable prompt, the communication platform may cause the message (or sharable prompt) to be displayed to the second virtual space such that the member(s) of the second virtual space may be able to view and/or access the message. That is, the communication platform may render the message to the second virtual space such that the members of the virtual space may be able to interact with the message (or sharable prompt). In some cases, the message may be displayed in a messaging feed (or pane), a thread, a popup or overlay window, etc.

708 700 At operation, the processcan include receiving, in response to the second request and from a second user profile, a third request to input the machine-learned prompt associated with the message into a machine-learned model. That is, a second user profile that has access to, and/or is a member of, the second virtual space may submit the request to use the sharable prompt. The second user profile may submit the request by selecting (e.g., clicking on, touching, etc.) the button (or message or sharable prompt) as displayed via the second virtual space. As such, when the second user profile selects the message, a request may be sent to the communication platform instructing the communication platform to input the prompt stored in the message and/or the user data of the second user profile into a machine-learned system.

710 700 At operation, the processcan include determining, based on the third request and inputting the user data of the second user profile and the prompt into the machine-learned model, output data representing a response. For example, the communication platform may input the prompt and/or the user data of the second user profile into a machine-learned system. In some examples, some or all machine-learned systems and/or virtual spaces may include one or more machine-learned models. In some cases, the such machine-learned systems may be trained on the content and/or data within the virtual space. Additionally or alternatively, the machine-learned systems may be trained on data associated with the prompt (e.g., trained on the topic of the prompt). In some cases, when inputting the data into the machine-learned system, the communication platform may access the user profile data of the requesting user profile. The user profile data may be used to by the machine-learned system to accurately and/or correctly answer the prompt relative the requesting user. As such, the communication platform may input the prompt and/or the user data into the machine-learned model.

712 700 At operation, the processcan include causing the output data to be displayed to the virtual space via a use interface of the second user profile. That is, the machine-learned system may output the response, answer, and/or content associated with the prompt. In this case, the communication platform may display the output data to the second virtual space being used by the second user profile. Importantly, the machine-learned system may output different (or unique) output data that is tailored or relative to the requesting user profile. That is, if two user profiles of the second virtual space both select the sharable prompt, the machine-learned system may output different responses based on the machine-learned system tailoring the responses to the user profiles based on the specific user data that was input into the machine-learned system.

A: A system comprising: one or more processors; and one or more non-transitory computer-readable media storing computer-executable instructions that, when executed, cause the one or more processors to perform operations comprising: receiving, from a first user profile in a first virtual space of a group-based communication platform, a first request to share a prompt, wherein the prompt includes a instruction for a generative machine-learned model; generating, in response to receiving the first request to share the prompt, a message that includes the prompt; receiving, from a second virtual space and by the first user profile, a second request to post the message to the second virtual space; causing, in response to the second request, the message to be displayed to the second virtual space; receiving, in response to displaying the message and from a second user profile, a third request to input the prompt associated with the message into a machine-learned model; inputting, based at least in part on the third request, user profile data of the second user profile and the prompt into the machine-learned model; receiving, from the machine-learned model, output data representing a response to the prompt; and causing, in response to receiving the output data, the output data to be displayed to the second virtual space via a user interface of the second user profile.

B: The system of paragraph A, wherein the output data is first output data, the operations further comprising: receiving, from a third user profile that is different than the second user profile, a fourth request to input the prompt into the machine-learned model; and determining, based at least in part on inputting the prompt and second user profile data of the third user profile into the machine-learned model, second output data that is different than the first output data.

C: The system of paragraph A, wherein the message is a first message and the machine-learned model is a first machine-learned model, the operations further comprising: generating, in response to receiving a fourth request to share a second prompt, a second message, wherein the first message corresponds to the first machine-learned model and the second message corresponds to a second machine-learned model that is different than the first machine-learned model.

D: The system of paragraph A, wherein receiving the first request is based at least in part on: receiving, from the first user profile, a fourth request to include the prompt in the message; receiving, from the first user profile, a fifth request to include the machine-learned model in the message; and generating the message that includes the prompt and the machine-learned model.

E: The system of paragraph A, wherein the first virtual space is different than the second virtual space.

F: The system of paragraph A, wherein the prompt is at least one of: a custom prompt, or a prompt associated with a question answered by the machine-learned model at a previous time.

G: One or more non-transitory computer-readable media storing instructions executable by one or more processors, wherein the instructions, when executed, cause the one or more processors to perform operations comprising: receiving, from a first user profile in a first virtual space, a first request to share a prompt; generating, in response to receiving the first request to share the prompt, a message that includes the prompt; receiving, from a second virtual space and by the first user profile, a second request to post the message to the second virtual space; receiving, in response to receiving the second request and from a second user profile, a third request to input the prompt associated with the message into a machine-learned model; inputting, based at least in part on the third request, user profile data of the second user profile and the prompt into the machine-learned model; receiving, from the machine-learned model, output data representing a response to the prompt; and causing, in response to receiving the output data, the output data to be displayed to the second virtual space via a user interface of the second user profile.

H: The one or more non-transitory computer-readable media of paragraph G, wherein the output data is first output data, the operations further comprising: receiving, from a third user profile that is different than the second user profile, a fourth request to input the prompt into the machine-learned model; and determining, based at least in part on inputting the prompt and second user profile data of the third user profile into the machine-learned model, second output data that is different than the first output data.

I: The one or more non-transitory computer-readable media of paragraph G, wherein the message is a first message and the machine-learned model is a first machine-learned model, the operations further comprising: generating, in response to receiving a fourth request to share a second prompt, a second message, wherein the first message corresponds to the first machine-learned model and the second message corresponds to a second machine-learned model that is different than the first machine-learned model.

J: The one or more non-transitory computer-readable media of paragraph G, wherein receiving the first request is based at least in part on: receiving, from the first user profile, a fourth request to include the prompt in the message; receiving, from the first user profile, a fifth request to include the machine-learned model in the message; and generating the message that includes the prompt and the machine-learned model.

K: The one or more non-transitory computer-readable media of paragraph G, wherein the first virtual space is different than the second virtual space.

L: The one or more non-transitory computer-readable media of paragraph G, wherein the prompt is at least one of: a custom prompt, or a prompt associated with a question answered by the machine-learned model at a previous time.

M: The one or more non-transitory computer-readable media of paragraph G, wherein receiving the third request is based at least in part on: causing, in response to the second request, the message to be displayed to the second virtual space.

N: A method comprising: receiving, from a first user profile in a first virtual space, a first request to share a prompt; generating, in response to receiving the first request to share the prompt, a message that includes the prompt; receiving, from a second virtual space and by the first user profile, a second request to post the message to the second virtual space; receiving, in response to receiving the second request and from a second user profile, a third request to input the prompt associated with the message into a machine-learned model; inputting, based at least in part on the third request, user profile data of the second user profile and the prompt into the machine-learned model; receiving, from the machine-learned model, output data representing a response to the prompt; and causing, in response to receiving the output data, the output data to be displayed to the second virtual space via a user interface of the second user profile.

O: The method of paragraph N, wherein the output data is first output data, the method further comprising: receiving, from a third user profile that is different than the second user profile, a fourth request to input the prompt into the machine-learned model; and determining, based at least in part on inputting the prompt and second user profile data of the third user profile into the machine-learned model, second output data that is different than the first output data.

P: The method of paragraph N, wherein the message is a first message and the machine-learned model is a first machine-learned model, the method further comprising: generating, in response to receiving a fourth request to share a second prompt, a second message, wherein the first message corresponds to the first machine-learned model and the second message corresponds to a second machine-learned model that is different than the first machine-learned model.

Q: The method of paragraph N, wherein receiving the first request is based at least in part on: receiving, from the first user profile, a fourth request to include the prompt in the message; receiving, from the first user profile, a fifth request to include the machine-learned model in the message; and generating the message that includes the prompt and the machine-learned model.

R: The method of paragraph N, wherein the first virtual space is different than the second virtual space.

S: The method of paragraph N, wherein the prompt is at least one of: a custom prompt, or a prompt associated with a question answered by the machine-learned model at a previous time.

T: The method of paragraph N, wherein receiving the third request is based at least in part on: causing, in response to the second request, the message to be displayed to the second virtual space.

While the example clauses described above are described with respect to one particular implementation, it should be understood that, in the context of this document, the content of the example clauses can also be implemented via a method, device, system, a computer-readable medium, and/or another implementation. Additionally, any of examples A-T may be implemented alone or in combination with any other one or more of the examples A-T.

While one or more examples of the techniques described herein have been described, various alterations, additions, permutations and equivalents thereof are included within the scope of the techniques described herein.

In the description of examples, reference is made to the accompanying drawings that form a part hereof, which show by way of illustration specific examples of the claimed subject matter. It is to be understood that other examples can be used and that changes or alterations, such as structural changes, can be made. Such examples, changes or alterations are not necessarily departures from the scope with respect to the intended claimed subject matter. While the steps herein can be presented in a certain order, in some cases the ordering can be changed so that certain inputs are provided at different times or in a different order without changing the function of the systems and methods described. The disclosed procedures could also be executed in different orders. Additionally, various computations that are herein need not be performed in the order disclosed, and other examples using alternative orderings of the computations could be readily implemented. In addition to being reordered, the computations could also be decomposed into sub-computations with the same results.